Deep repairing system and method for decomposing and fading birthmark pigment

Abstract

The invention discloses a birthmark pigment decomposition fading deep repair system and method, and relates to the technical field of medical cosmetology, the birthmark pigment decomposition fading deep repair system is characterized by comprising a birthmark identification and evaluation module, the birthmark identification and evaluation module is used for collecting birthmark data, analyzing the distribution condition of pigments in a birthmark area, and determining the distribution condition of the pigments in the birthmark area; and comprehensively evaluating the stubborn degree of the birthmarks based on pigment distribution, birthmark types and individual features of customers. According to the restoration system and method, the distribution condition of pigments in the birthmark area can be accurately analyzed, the birthmark type and customer individual characteristics are comprehensively considered, comprehensive assessment of the stubborn degree is carried out, a treatment scheme can be customized according to personal conditions and is more accurate and effective, abnormal conditions in the treatment process can be found and treated in time, and the treatment efficiency is improved. Through efficient and intelligent means, comprehensive optimization of birthmark treatment is achieved, and the treatment effect and customer satisfaction are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of medical cosmetology technology, and in particular to a birthmark pigment decomposition, fading and deep repair system and method. Background Art

[0002] In the field of medical cosmetology, the treatment of birthmarks has always been a complex and challenging topic. Birthmarks, as areas of abnormal pigment deposition on the skin, are of various types, including Mongolian spots, coffee spots, Ota nevus, melanin nevus, etc., and the pigment distribution, density and stubbornness of each birthmark are different. Traditional birthmark treatment methods often rely on the doctor's experience and judgment, lack a scientific evaluation system and personalized treatment plans, resulting in uneven treatment effects and even unnecessary complications. The treatment process of birthmarks requires continuous monitoring of the patient's response, including pain manifestations and skin changes, to ensure the safety and effectiveness of the treatment. However, traditional methods are often difficult to achieve real-time monitoring and timely adjustments during the treatment process, which increases the risk and uncertainty of treatment. At the same time, post-treatment recovery evaluation and intervention are also important links in birthmark treatment. Due to the large individual differences among patients, the recovery speed and effect are different, so it is necessary to regularly evaluate the patient's recovery and take necessary intervention measures based on the evaluation results. However, traditional methods often lack systematicity and scientificity in this link, resulting in unsatisfactory recovery effects or prolonged treatment cycles. In this regard, we propose a birthmark pigment decomposition and dilution deep repair system and method. Summary of the invention

[0003] In order to solve the above technical problems, a birthmark pigment decomposition and fading deep repair system and method are provided. This technical solution solves the above problems.

[0004] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0005] Birthmark pigment decomposition and fading deep repair system, the repair system includes:

[0006] Birthmark identification and assessment module: The birthmark identification and assessment module is used to collect birthmark data, analyze the distribution of pigments in the birthmark area, and conduct a comprehensive assessment of the stubbornness of the birthmark based on the pigment distribution, birthmark type and individual characteristics of the customer;

[0007] A treatment plan design module, the treatment plan design module is electrically connected to the birthmark identification and evaluation module, and the treatment plan design module is used to generate a treatment plan based on the results of birthmark identification and evaluation, combined with treatment cases in the database and expert experience, and the treatment plan includes selected treatment technology, treatment cycle and expected effect;

[0008] A treatment implementation module, which is electrically connected to the treatment plan design module, and is used to perform specific treatment operations according to the treatment plan output by the treatment plan design module, and monitor the customer's response in real time during the treatment process, wherein the customer's response includes pain manifestations and skin changes;

[0009] A recovery assessment and intervention module, which is electrically connected to the birthmark identification and assessment module, the treatment plan design module and the treatment implementation module, and is used to regularly assess the client's recovery status according to different stages after treatment, and take additional intervention measures for unsatisfactory recovery;

[0010] A user interaction and feedback module, which is electrically connected to the birthmark identification and evaluation module, the treatment plan design module, the treatment implementation module, and the recovery evaluation and intervention module, and is used by customers and medical staff to view treatment progress, accept treatment suggestions, and submit feedback;

[0011] A data management module, which is electrically connected to the birthmark identification and evaluation module, the treatment plan design module, the treatment implementation module, the recovery evaluation and intervention module, and the user interaction and feedback module. The data management module is used to record the customer's basic information, treatment history, and recovery status.

[0012] Preferably, the birthmark identification and assessment module comprises:

[0013] Birthmark recognition unit, which is used to collect image information of birthmarks and automatically recognize birthmarks using image processing technology to obtain basic information about birthmarks including type, size and shape;

[0014] Pigment distribution observation unit: the pigment distribution observation unit is used to analyze the distribution of pigments in the birthmark area, and uses spectrum to analyze the pigment situation and distribution range;

[0015] Birthmark Assessment Unit, the birthmark assessment unit is used to comprehensively assess the stubbornness of birthmarks based on pigment distribution, birthmark type and individual characteristics of the client.

[0016] Preferably, the treatment implementation module includes:

[0017] A treatment operation unit, which is used to perform specific treatment operations according to the treatment plan output by the treatment plan design module;

[0018] The treatment monitoring unit is used to monitor the client's response, including pain manifestations and skin changes, in real time during the treatment process.

[0019] Preferably, the recovery assessment and intervention module includes:

[0020] Recovery Assessment Unit: The recovery assessment unit is used to regularly assess the client's recovery according to different stages after treatment, including observing the pigment changes in the birthmark area, the improvement of skin texture and the client's overall feelings;

[0021] The Intervention Measure Development Unit is responsible for developing additional intervention measures, including adjusting the treatment plan, increasing the number of treatments, and using auxiliary treatment methods, when the assessment finds that recovery is not ideal or there are potential problems.

[0022] Preferably, the user interaction and feedback module includes:

[0023] Information display unit, which is used to display treatment progress, treatment recommendations, basic patient information, birthmark identification and evaluation results, and treatment plans to customers and medical staff through graphical interfaces, reports, and notification messages;

[0024] User operation interface unit, which is used to realize the interactive interface between the user and the system, including the login, authority management, information query and operation instructions of customers and medical staff;

[0025] Feedback collection unit,The feedback collection unit is used to receive feedback submitted by customers and medical staff, including their feelings during the treatment process, evaluation of treatment effects and suggestions for services.

[0026] The birthmark pigment decomposition and fading deep repair method, the repair method steps are:

[0027] Use the birthmark recognition and evaluation module to collect image information of birthmarks, apply image processing technology to automatically identify birthmarks, obtain basic information about birthmarks, use spectral analysis technology to observe the distribution of pigments in the birthmark area, and comprehensively evaluate the stubbornness of birthmarks based on pigment distribution, birthmark type and individual characteristics of customers;

[0028] Based on the results of birthmark identification and evaluation, combined with the treatment cases and expert experience in the database, a personalized treatment plan is generated through the treatment plan design module. The plan includes the selected treatment technology, treatment cycle and expected results.

[0029] According to the treatment plan output by the treatment plan design module, the treatment implementation module performs specific treatment operations. During the treatment process, the treatment monitoring unit monitors the customer's response in real time, including pain manifestations and skin changes. If the customer's response is abnormal, the treatment is stopped immediately;

[0030] At different stages after treatment, the recovery assessment and intervention module regularly assesses the client's recovery, including observing the pigment changes in the birthmark area, the improvement in skin texture and the client's overall feelings. If the assessment finds that the recovery is not ideal or there are potential problems, the intervention measures formulation unit will be responsible for formulating additional intervention measures until the end of treatment;

[0031] Through the user interaction and feedback module, customers and medical staff can view treatment progress, receive treatment recommendations, and submit feedback.

[0032] Preferably, the method for identifying, analyzing and evaluating birthmarks is:

[0033] Collect a large amount of image data containing different types of birthmarks, have experts annotate the birthmark images, clarify the location and boundaries of the birthmark area as training samples, and increase the number of training samples by rotating, scaling and translating the images;

[0034] Build an automatic recognition model, accept birthmark image data, extract features from the input image through multiple convolution kernels, use a nonlinear activation function in the activation layer to introduce nonlinear factors, downsample the feature map through the pooling layer, and use a fully connected layer to convert the features extracted by the convolution layer into the final output. The output layer is set to a segmentation map of the same size as the input image, where each pixel represents the probability that the point belongs to the birthmark area;

[0035] The calculation formula of the nonlinear activation function of the activation layer is:

[0036] f(x)=max(0,x)

[0037] In the formula, x represents the input data, f(x) represents the output result, when x is greater than or equal to 0, f(x) is equal to x, when x is less than 0, f(x) is equal to 0;

[0038] Input the training data into the network, obtain the output results through calculations of each layer of the network, calculate the loss function value based on the output results and the true label, evaluate the prediction performance of the network, update the network weights to reduce the loss value based on the gradient information of the loss function, and repeat the process of forward propagation, loss calculation and back propagation until the model accurately identifies the birthmark;

[0039] Use medical imaging equipment to collect images of the birthmark area;

[0040] Importing the collected image into the automatic recognition model to recognize the birthmark, transmitting the recognized birthmark information to the pigment distribution observation unit, using the pigment distribution observation unit to collect spectral data of the birthmark, and generating a pigment distribution map of the birthmark area;

[0041] Based on the pigment distribution, birthmark type and individual characteristics of the customer, the stubbornness of the birthmark is comprehensively evaluated and classified into low stubbornness, medium stubbornness and high stubbornness;

[0042] Low stubbornness, low pigment density and uniform distribution, the birthmark type is Mongolian spot, the individual characteristics of the customer are young age, good skin quality and health;

[0043] Medium stubbornness, medium pigment density and localized aggregation, birthmark type is coffee-coffee spot or nevus of Ota, individual characteristics of the client are moderate age, normal skin quality, and no serious diseases;

[0044] High stubbornness, high pigment density and wide distribution, the birthmark type is melanocytic nevus, and the individual characteristics of the customer are old age, poor skin quality, chronic disease or genetic history.

[0045] Preferably, the method for the treatment plan design module to automatically generate a treatment plan is:

[0046] Collect and obtain treatment cases and compile them into a database;

[0047] Based on the results output by the birthmark identification and assessment module, searching the database for treatment cases that match the current birthmark identification and assessment results;

[0048] Submit the selected cases to experts for review and obtain their opinions;

[0049] Combine the expert's opinions with the treatment cases in the database to form a treatment plan template;

[0050] Construct a treatment plan generation model, use historical treatment cases, expert opinions, and birthmark identification and evaluation results as training data, extract features that affect treatment plan generation from the data, including birthmark type, pigment distribution, patient age, and skin quality, train the model using the training data, evaluate the model using the test set, and fine-tune the model based on the evaluation results;

[0051] The treatment plan generation model is used in actual treatment scenarios to generate treatment plans.

[0052] Preferably, the algorithm of the treatment plan generation model is:

[0053]

[0054] In the formula, represents the final classification result, fj(v) represents the classification result of the jth decision tree, m represents the number of decision trees, and I represents the indicator function. When the condition is met, it returns 1, and when the condition is not met, it returns 0.

[0055] Preferably, the recovery assessment unit performs a recovery assessment based on the information obtained by the birthmark identification and assessment module, and the intervention measure formulation unit outputs the intervention measures through the treatment plan design module based on the results of the re-assessment.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The repair system and method proposed in the present invention can accurately analyze the distribution of pigments in the birthmark area, and comprehensively consider the type of birthmark and the individual characteristics of the customer, and conduct a comprehensive assessment of the degree of stubbornness so that the treatment plan can be customized according to the individual situation, which is more accurate and effective. It can timely discover and deal with abnormal conditions during the treatment process to ensure the safety and effectiveness of the treatment. It can regularly evaluate the customer's recovery at different stages after treatment and formulate additional intervention measures for situations where recovery is not ideal. This dynamic adjustment mechanism helps to maximize the treatment effect, and through precise, personalized, efficient and intelligent means, it achieves comprehensive optimization of birthmark treatment and significantly improves the treatment effect and customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The framework diagram of the birthmark pigment decomposition and deep repair system;

[0059] Figure 2 This is the structure diagram of the birthmark identification and assessment module;

[0060] Figure 3 Module structure diagram for treatment implementation;

[0061] Figure 4 for the Recovery Assessment and Intervention Module;

[0062] Figure 5 It is a user interaction and feedback module. DETAILED DESCRIPTION

[0063] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0064] Reference Figure 1 As shown, the birthmark pigment decomposition and fading deep repair system, the repair system includes:

[0065] Birthmark identification and evaluation module, which is the core starting point of the entire system, integrates image acquisition technology and image processing algorithms. Through non-invasive optical scanning equipment, it can capture detailed images of the birthmark area, including color depth, shape, and boundary clarity. Subsequently, the algorithm is used to analyze these image data to quantify the distribution density and type of pigment in the birthmark. In addition, the module also considers the customer's age, skin quality, and health status, and combines the preset evaluation model to comprehensively evaluate the stubbornness of the birthmark and the treatment effect, providing a scientific basis for the formulation of subsequent treatment plans;

[0066] Treatment plan design module: Based on the results of birthmark identification and evaluation, the treatment plan design module intelligently searches for similar cases in the database, and combines the clinical experience and latest research results of experts to generate customized treatment plans. These plans not only cover the specific treatment techniques selected, but also plan the treatment cycle, the intensity and frequency of each treatment, and the expected treatment effect in detail. The module also has a risk assessment function, which can warn of complications or adverse reactions in advance to ensure the safety and effectiveness of the treatment plan;

[0067] Treatment implementation module: The treatment implementation module integrates high-precision treatment equipment and intelligent operation interface to ensure the accurate execution of treatment operations. During the treatment process, the module uses sensors to monitor the client's pain response, skin temperature changes, and pigment changes in real time to ensure the safety and controllability of the treatment process. At the same time, it also supports remote monitoring functions, allowing medical staff to adjust treatment parameters in time and optimize treatment effects without direct contact with patients.

[0068] Recovery Assessment and Intervention Module: After the treatment is completed, the Recovery Assessment and Intervention Module will take over the subsequent care and monitoring work. Through regular customer return visits, skin examinations and data analysis, the module comprehensively evaluates the recovery after treatment, including the degree of pigmentation, improvement in skin texture, and signs of recurrence. For cases where recovery is not ideal or complications occur, the module will quickly initiate intervention mechanisms, provide personalized care suggestions or adjust subsequent treatment plans to promote the best recovery for customers;

[0069] User interaction and feedback module: This module is a bridge of communication between customers and medical staff. It provides an intuitive and easy-to-use interface, allowing customers to easily view treatment progress, receive personalized treatment suggestions and skin care guidance. At the same time, it also encourages customers to submit their feelings and feedback during the treatment process. These feedbacks will be collected and analyzed by the system to optimize the treatment process and improve service quality. In addition, the module also supports online appointments and consultations, so that customers can get the services they need at any time;

[0070] The data management module, as the hub of the entire system, is responsible for collecting, storing, processing and analyzing data from various modules. It not only records the customer's basic information, treatment history and recovery status, but also discovers the patterns and trends in the treatment process through data mining and big data analysis technology, providing strong support for the optimization of treatment plans and scientific research innovation. At the same time, the module also strictly abides by data protection regulations to ensure the privacy and security of customer information.

[0071] Reference Figure 2 As shown, the birthmark identification and assessment module includes:

[0072] Birthmark recognition unit, which is used to collect image information of birthmarks and automatically recognize birthmarks using image processing technology to obtain basic information about birthmarks including type, size and shape;

[0073] Pigment distribution observation unit: the pigment distribution observation unit is used to analyze the distribution of pigments in the birthmark area, and uses spectrum to analyze the pigment situation and distribution range;

[0074] Birthmark Assessment Unit: The birthmark assessment unit is used to comprehensively assess the stubbornness of birthmarks based on pigment distribution, birthmark type and individual characteristics of the client;

[0075] The birthmark recognition unit collects images and automatically identifies basic information about birthmarks. The pigment distribution observation unit uses spectral technology to analyze pigment distribution. The birthmark assessment unit evaluates the stubbornness of birthmarks based on comprehensive pigment distribution, birthmark type and customer characteristics. These units work together to provide important basis for formulating personalized treatment plans.

[0076] Reference Figure 3 As shown, the treatment implementation module includes:

[0077] A treatment operation unit, which is used to perform specific treatment operations according to the treatment plan output by the treatment plan design module;

[0078] Treatment monitoring unit, which is used to monitor the client's response, including pain manifestations and skin changes, in real time during treatment;

[0079] The treatment implementation module includes a treatment operation unit and a treatment monitoring unit. The treatment operation unit executes personalized treatment plans to ensure treatment accuracy, and the treatment monitoring unit monitors the patient's pain response and skin changes in real time to ensure treatment safety. The two work together to ensure treatment effectiveness and reduce risks.

[0080] Reference Figure 4 As shown, the Recovery Assessment and Intervention Module includes:

[0081] Recovery Assessment Unit: The recovery assessment unit is used to regularly assess the client's recovery according to different stages after treatment, including observing the pigment changes in the birthmark area, the improvement of skin texture and the client's overall feelings;

[0082] The Intervention Measures Development Unit is responsible for developing additional intervention measures, including adjusting the treatment plan, increasing the number of treatments, and using auxiliary treatment methods, when the assessment finds that recovery is not ideal or there are potential problems.

[0083] The Recovery Assessment and Intervention Module includes a Recovery Assessment Unit and an Intervention Measure Development Unit. The former regularly assesses the client's recovery, including pigmentation changes, skin texture and overall feeling; the latter is responsible for developing additional intervention measures such as adjusting the treatment plan, increasing the number of treatments or adopting auxiliary treatments when unsatisfactory recovery is found.

[0084] Reference Figure 5 As shown, the user interaction and feedback module includes:

[0085] Information display unit, which is used to display treatment progress, treatment recommendations, basic patient information, birthmark identification and evaluation results, and treatment plans to customers and medical staff through graphical interfaces, reports, and notification messages;

[0086] User operation interface unit, which is used to realize the interactive interface between the user and the system, including the login, authority management, information query and operation instructions of customers and medical staff;

[0087] Feedback collection unit, which is used to receive feedback submitted by customers and medical staff, including feelings during treatment, evaluation of treatment effects and suggestions for services;

[0088] The user interaction and feedback module includes an information display unit, a user operation interface unit and a feedback collection unit. The information display unit displays treatment-related information to customers and medical staff in various forms. The user operation interface unit provides login, authority management, information query and operation functions. The feedback collection unit collects feedback from customers and medical staff to optimize services.

[0089] Methods for identifying, analyzing and evaluating birthmarks are:

[0090] Collect a large amount of image data containing different types of birthmarks, have experts annotate the birthmark images, clarify the location and boundaries of the birthmark area as training samples, and increase the number of training samples by rotating, scaling and translating the images;

[0091] Build an automatic recognition model, accept birthmark image data, extract features from the input image through multiple convolution kernels, use a nonlinear activation function in the activation layer to introduce nonlinear factors, downsample the feature map through the pooling layer, and use a fully connected layer to convert the features extracted by the convolution layer into the final output. The output layer is set to a segmentation map of the same size as the input image, where each pixel represents the probability that the point belongs to the birthmark area;

[0092] The calculation formula of the nonlinear activation function of the activation layer is:

[0093] f(x)=max(0,x)

[0094] In the formula, x represents the input data, f(x) represents the output result, when x is greater than or equal to 0, f(x) is equal to x, when x is less than 0, f(x) is equal to 0;

[0095] Input the training data into the network, obtain the output results through calculations of each layer of the network, calculate the loss function value based on the output results and the true label, evaluate the prediction performance of the network, update the network weights to reduce the loss value based on the gradient information of the loss function, and repeat the process of forward propagation, loss calculation and back propagation until the model accurately identifies the birthmark;

[0096] Use medical imaging equipment to collect images of the birthmark area;

[0097] Importing the collected image into the automatic recognition model to recognize the birthmark, transmitting the recognized birthmark information to the pigment distribution observation unit, using the pigment distribution observation unit to collect spectral data of the birthmark, and generating a pigment distribution map of the birthmark area;

[0098] Based on the pigment distribution, birthmark type and individual characteristics of the customer, the stubbornness of the birthmark is comprehensively evaluated and classified into low stubbornness, medium stubbornness and high stubbornness;

[0099] Low stubbornness, low pigment density and uniform distribution, the birthmark type is Mongolian spot, the individual characteristics of the customer are young age, good skin quality and health;

[0100] Medium stubbornness, medium pigment density and localized aggregation, birthmark type is coffee-coffee spot or nevus of Ota, individual characteristics of the client are moderate age, normal skin quality, and no serious diseases;

[0101] High stubbornness, high pigment density and wide distribution, the birthmark type is melanocytic nevus, and the individual characteristics of the customer are old age, poor skin quality, chronic disease or genetic history;

[0102] The birthmark identification, analysis and evaluation methods include collecting and annotating birthmark image data, building a deep learning model for automatic identification, optimizing the model through training, collecting images and identifying birthmarks in actual applications, and comprehensively evaluating the stubbornness of birthmarks based on pigment distribution, birthmark type and individual characteristics to provide a basis for treatment.

[0103] The method by which the treatment plan design module automatically generates treatment plans is:

[0104] Collect and obtain treatment cases and compile them into a database;

[0105] Based on the results output by the birthmark identification and assessment module, searching the database for treatment cases that match the current birthmark identification and assessment results;

[0106] Submit the selected cases to experts for review and obtain their opinions;

[0107] Combine the expert's opinions with the treatment cases in the database to form a treatment plan template;

[0108] Construct a treatment plan generation model, use historical treatment cases, expert opinions, and birthmark identification and evaluation results as training data, extract features that affect treatment plan generation from the data, including birthmark type, pigment distribution, patient age, and skin quality, train the model using the training data, evaluate the model using the test set, and fine-tune the model based on the evaluation results;

[0109] Apply the treatment plan generation model to the treatment scenario to generate treatment plans;

[0110] The treatment plan design module builds a database by collecting treatment cases, screens matching cases based on birthmark identification and evaluation results, and forms a treatment plan template after expert review. Subsequently, machine learning is used to build and train a treatment plan generation model, extract key features and optimize the model. Finally, the model is applied to the actual treatment scenario to automatically generate personalized treatment plans.

[0111] The algorithm of the treatment plan generation model is:

[0112]

[0113] In the formula, represents the final classification result, fj(v) represents the classification result of the jth decision tree, m represents the number of decision trees, and I represents the indicator function. When the condition is met, it returns 1, and when the condition is not met, it returns 0.

[0114] The recovery assessment unit is crucial in birthmark treatment. It receives the results of birthmark identification and assessment, and comprehensively evaluates the patient's treatment progress and recovery, including birthmark changes and individual differences among patients. Through dermatoscopy and pigmentation measurement, the assessment unit collects and analyzes data to provide a basis for subsequent treatment. If the treatment is effective and there are no adverse reactions, the plan will be maintained or fine-tuned. If the effect is not good or adverse reactions occur, the intervention measures formulation unit will intervene to adjust the treatment plan according to the evaluation results, including technology, drugs, cycle adjustment and auxiliary treatment, to ensure smooth treatment and maximize the effect, and to improve the accuracy and personalization of medical services.

[0115] The use process of the present invention is as follows: the birthmark identification and evaluation module is used to collect and analyze birthmark information, and the spectral analysis technology is used to evaluate the stubbornness of the birthmark. Based on the evaluation results and database cases, the treatment plan design module generates a personalized treatment plan. When the treatment is implemented, the monitoring unit ensures safety and stops immediately if there is an abnormality. The recovery assessment and intervention module regularly evaluates the recovery situation and formulates additional measures for undesirable situations. The user interaction module promotes information transparency and feedback collection to optimize the overall treatment experience.

[0116] To sum up, the advantages of the present invention are: a repair system and method are proposed, which realizes customized treatment plan by accurately analyzing the birthmark pigment distribution and comprehensively evaluating the birthmark type and individual characteristics, thereby improving the accuracy and effectiveness of treatment. The system can monitor and handle treatment abnormalities in real time to ensure safety. At the same time, it regularly evaluates the recovery status at each stage after treatment, takes additional intervention for undesirable situations, realizes dynamic adjustment and maximizes the treatment effect. This method comprehensively optimizes the birthmark treatment process and significantly improves the treatment effect and customer satisfaction.

[0117] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. Birthmark pigment decomposition and dilution deep repair system, characterized by: The repair system includes: Birthmark identification and assessment module: The birthmark identification and assessment module is used to collect birthmark data, analyze the distribution of pigments in the birthmark area, and conduct a comprehensive assessment of the stubbornness of the birthmark based on the pigment distribution, birthmark type and individual characteristics of the customer; A treatment plan design module, the treatment plan design module is electrically connected to the birthmark identification and evaluation module, and the treatment plan design module is used to generate a treatment plan based on the results of birthmark identification and evaluation, combined with treatment cases in the database and expert experience, and the treatment plan includes selected treatment technology, treatment cycle and expected effect; A treatment implementation module, which is electrically connected to the treatment plan design module, and is used to perform specific treatment operations according to the treatment plan output by the treatment plan design module, and monitor the customer's response in real time during the treatment process, wherein the customer's response includes pain manifestations and skin changes; A recovery assessment and intervention module, which is electrically connected to the birthmark identification and assessment module, the treatment plan design module and the treatment implementation module, and is used to regularly assess the client's recovery status according to different stages after treatment, and take additional intervention measures for unsatisfactory recovery; A user interaction and feedback module, which is electrically connected to the birthmark identification and evaluation module, the treatment plan design module, the treatment implementation module, and the recovery evaluation and intervention module, and is used by customers and medical staff to view treatment progress, accept treatment suggestions, and submit feedback; A data management module, which is electrically connected to the birthmark identification and evaluation module, the treatment plan design module, the treatment implementation module, the recovery evaluation and intervention module, and the user interaction and feedback module. The data management module is used to record the customer's basic information, treatment history, and recovery status.

2. The birthmark pigment decomposition and dilution deep repair system according to claim 1, characterized in that: The birthmark identification and assessment module includes: Birthmark recognition unit, which is used to collect image information of birthmarks and automatically recognize birthmarks using image processing technology to obtain basic information about birthmarks including type, size and shape; Pigment distribution observation unit: the pigment distribution observation unit is used to analyze the distribution of pigments in the birthmark area, and uses spectrum to analyze the pigment situation and distribution range; Birthmark Assessment Unit, the birthmark assessment unit is used to comprehensively assess the stubbornness of birthmarks based on pigment distribution, birthmark type and individual characteristics of the client.

3. The birthmark pigment decomposition and dilution deep repair system according to claim 1, characterized in that: Treatment delivery modules include: A treatment operation unit, which is used to perform specific treatment operations according to the treatment plan output by the treatment plan design module; The treatment monitoring unit is used to monitor the client's response, including pain manifestations and skin changes, in real time during the treatment process.

4. The birthmark pigment decomposition and dilution deep repair system according to claim 1, characterized in that: The Recovery Assessment and Intervention Module includes: Recovery Assessment Unit: The recovery assessment unit is used to regularly assess the client's recovery according to different stages after treatment, including observing the pigment changes in the birthmark area, the improvement of skin texture and the client's overall feelings; The Intervention Measure Development Unit is responsible for developing additional intervention measures, including adjusting the treatment plan, increasing the number of treatments, and using auxiliary treatment methods, when the assessment finds that recovery is not ideal or there are potential problems.

5. The birthmark pigment decomposition and dilution deep repair system according to claim 1, characterized in that: User interaction and feedback modules include: Information display unit, which is used to display treatment progress, treatment recommendations, basic patient information, birthmark identification and evaluation results, and treatment plans to customers and medical staff through graphical interfaces, reports, and notification messages; User operation interface unit, which is used to realize the interactive interface between the user and the system, including the login, authority management, information query and operation instructions of customers and medical staff; Feedback collection unit,The feedback collection unit is used to receive feedback submitted by customers and medical staff, including their feelings during the treatment process, evaluation of treatment effects and suggestions for services.

6. A method for deep repairing birthmark pigment decomposition and dilution, characterized in that: The repair steps are: Use the birthmark recognition and evaluation module to collect image information of birthmarks, apply image processing technology to automatically identify birthmarks, obtain basic information about birthmarks, use spectral analysis technology to observe the distribution of pigments in the birthmark area, and comprehensively evaluate the stubbornness of birthmarks based on pigment distribution, birthmark type and individual characteristics of customers; Based on the results of birthmark identification and evaluation, combined with the treatment cases and expert experience in the database, a personalized treatment plan is generated through the treatment plan design module. The plan includes the selected treatment technology, treatment cycle and expected results. According to the treatment plan output by the treatment plan design module, the treatment implementation module performs specific treatment operations. During the treatment process, the treatment monitoring unit monitors the customer's response in real time, including pain manifestations and skin changes. If the customer's response is abnormal, the treatment is stopped immediately; At different stages after treatment, the recovery assessment and intervention module regularly assesses the client's recovery, including observing the pigment changes in the birthmark area, the improvement in skin texture and the client's overall feelings. If the assessment finds that the recovery is not ideal or there are potential problems, the intervention measures formulation unit will be responsible for formulating additional intervention measures until the end of treatment; Through the user interaction and feedback module, customers and medical staff can view treatment progress, receive treatment recommendations, and submit feedback.

7. The method for deep repairing birthmark pigment decomposition and dilution according to claim 6, characterized in that: Methods for identifying, analyzing and evaluating birthmarks are: Collect a large amount of image data containing different types of birthmarks, have experts annotate the birthmark images, clarify the location and boundaries of the birthmark area as training samples, and increase the number of training samples by rotating, scaling and translating the images; Build an automatic recognition model, accept birthmark image data, extract features from the input image through multiple convolution kernels, use a nonlinear activation function in the activation layer to introduce nonlinear factors, downsample the feature map through the pooling layer, and use a fully connected layer to convert the features extracted by the convolution layer into the final output. The output layer is set to a segmentation map of the same size as the input image, where each pixel represents the probability that the point belongs to the birthmark area; The calculation formula of the nonlinear activation function of the activation layer is: f(x)=max(0,x) In the formula, x represents the input data, f(x) represents the output result, when x is greater than or equal to 0, f(x) is equal to x, when x is less than 0, f(x) is equal to 0; Input the training data into the network, obtain the output results through calculations of each layer of the network, calculate the loss function value based on the output results and the true label, evaluate the prediction performance of the network, update the network weights to reduce the loss value based on the gradient information of the loss function, and repeat the process of forward propagation, loss calculation and back propagation until the model accurately identifies the birthmark; Use medical imaging equipment to collect images of the birthmark area; The collected images are imported into the automatic recognition model to identify the birthmark, and the identified birthmark information is transmitted to the pigment distribution observation unit. The pigment distribution observation unit is used to collect the spectral data of the birthmark to generate the birthmark Note the regional pigment distribution map; Based on the pigment distribution, birthmark type and individual characteristics of the customer, the stubbornness of the birthmark is comprehensively evaluated and classified into low stubbornness, medium stubbornness and high stubbornness; Low stubbornness, low pigment density and uniform distribution, the birthmark type is Mongolian spot, the individual characteristics of the customer are young age, good skin quality and health; Medium stubbornness, medium pigment density and localized aggregation, birthmark type is coffee-coffee spot or nevus of Ota, individual characteristics of the client are moderate age, normal skin quality, and no serious diseases; High stubbornness, high pigment density and wide distribution, the birthmark type is melanocytic nevus, and the individual characteristics of the customer are old age, poor skin quality, chronic disease or genetic history.

8. The method for deep repairing birthmark pigment decomposition and dilution according to claim 6, characterized in that: The method by which the treatment plan design module automatically generates treatment plans is: Collect and obtain treatment cases and compile them into a database; Based on the results output by the birthmark identification and assessment module, searching the database for treatment cases that match the current birthmark identification and assessment results; Submit the selected cases to experts for review and obtain their opinions; Combine the expert's opinions with the treatment cases in the database to form a treatment plan template; Construct a treatment plan generation model, use historical treatment cases, expert opinions, and birthmark identification and evaluation results as training data, extract features that affect treatment plan generation from the data, including birthmark type, pigment distribution, patient age, and skin quality, train the model using the training data, evaluate the model using the test set, and fine-tune the model based on the evaluation results; The treatment plan generation model is used in actual treatment scenarios to generate treatment plans.

9. The birthmark pigment decomposition and dilution deep repair system and method according to claim 8, characterized in that: The algorithm of the treatment plan generation model is: In the formula, represents the final classification result, f j (v) represents the classification result of the jth decision tree, m represents the number of decision trees, and I represents the indicator function. When the condition is met, it returns 1, and when the condition is not met, it returns 0.

10. The birthmark pigment decomposition and dilution deep repair system and method according to claim 6, characterized in that: The recovery assessment unit performs recovery assessment based on the information obtained from the birthmark identification and assessment module, and the intervention measures formulation unit outputs intervention measures through the treatment plan design module based on the results of the re-evaluation.

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