Colorectal cancer intelligent screening analysis method and system based on virtual reality

Abstract

The invention discloses an intelligent colorectal cancer screening analysis method and system based on virtual reality, and belongs to the field of medical care systems.Abnormal change analysis of a canceration area is carried out based on the change condition of a three-dimensional model of the canceration area, excrement abnormality analysis is carried out based on information of components in excrement, and the accuracy of the analysis is improved. Comprehensively obtaining the diet of the patient to perform excrement abnormal compensation analysis, performing colorectal cancer treatment effect analysis based on the abnormal change analysis result of the cancerization area and the excrement abnormal compensation analysis result, and performing colorectal cancer treatment effect analysis based on the abnormal change evaluation of the cancerization area of the patient and the abnormal compensation evaluation of the excrement in the treatment process. The canceration treatment effect of the patient is accurately analyzed, and the accuracy rate and the analysis efficiency of treatment effect analysis are improved.

Description

Technical Field

[0001] The present invention belongs to the field of healthcare systems, and specifically relates to a method and system for intelligent screening and analysis of colorectal cancer based on virtual reality. Background Art

[0002] Colorectal cancer is a malignant tumor that affects the colon and rectum and is one of the common cancers globally. The symptoms of colorectal cancer may include abdominal pain, constipation or diarrhea, bloody stools, weight loss, and fatigue. These symptoms are not specific and may overlap with other digestive system diseases. Therefore, early diagnosis is very important. In terms of the causes of the disease, the occurrence of colorectal cancer is closely related to factors such as genetics, eating habits, and lifestyle. A diet high in fat and low in fiber, smoking, excessive alcohol consumption, obesity, and lack of exercise are all factors that increase the risk of colorectal cancer. In addition, a family history may also increase the risk of the disease. Certain genetic syndromes such as hereditary non-polyposis colorectal cancer and Lynch syndrome significantly increase the incidence of colorectal cancer. Screening and early detection are the keys to reducing the mortality rate of colorectal cancer. Common screening methods include fecal occult blood test, fecal DNA test, and colonoscopy;

[0003] After treating colorectal cancer in different ways, it is necessary to evaluate and analyze the treatment effect. The existing analysis of the treatment effect of colorectal cancer is usually evaluated by medical staff through the change in the size of the tumor and the change in the physical condition of the human body, and the treatment effect of colorectal cancer is analyzed manually. The existing technology cannot evaluate the abnormal changes in the cancerous area of the patient during the treatment process and the abnormal compensation evaluation of feces, resulting in a low accuracy rate in analyzing the treatment effect of the patient's cancer. Most of the existing technologies have the above problems;

[0004] To solve the problems proposed in this background art, the present application designs a method and system for intelligent screening and analysis of colorectal cancer based on virtual reality. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the present invention proposes a method and system for intelligent screening and analysis of colorectal cancer based on virtual reality. The present invention analyzes the abnormal changes in the cancerous area based on the changes in the three-dimensional model of the cancerous area, analyzes the fecal abnormalities based on the component information in the feces, and then comprehensively obtains the patient's diet for fecal abnormal compensation analysis. Based on the analysis results of the abnormal changes in the cancerous area and the fecal abnormal compensation analysis results, the treatment effect of colorectal cancer is analyzed. Based on the evaluation of the abnormal changes in the cancerous area of the patient during the treatment process and the abnormal compensation evaluation of feces, the treatment effect of the patient's cancer is accurately analyzed, improving the accuracy rate and analysis efficiency of the treatment effect analysis.

[0006] To achieve the above object, the present invention provides the following technical solution: A method for intelligent screening and analysis of colorectal cancer based on virtual reality, which includes the following specific steps:

[0007] Based on the acquisition terminal to collect the image information of the cancerous area, and construct a three-dimensional model of the cancerous area through virtual reality software, and at the same time obtain the component information in the patient's diet and feces;

[0008] Based on the change situation of the three-dimensional model of the cancerous area, analyze the abnormal changes of the cancerous area;

[0009] Based on the component information in the feces, conduct fecal abnormality analysis, and then comprehensively conduct fecal abnormality compensation analysis based on the obtained patient diet;

[0010] Based on the analysis results of the abnormal changes in the cancerous area and the analysis results of fecal abnormality compensation, conduct analysis on the treatment effect of colorectal cancer.

[0011] Here it should be noted that, as a preferred technical solution of the intelligent screening and analysis method for colorectal cancer based on virtual reality, the method of collecting the image information of the cancerous area by the acquisition terminal, constructing a three-dimensional model of the cancerous area through virtual reality software, and at the same time obtaining the component information in the patient's diet and feces includes the following specific steps:

[0012] S11. Insert the image acquisition terminal into the cancerous position to obtain the image information of the cancerous area, and here it also includes a series of clarification processes to clarify the collected image of the cancerous area;

[0013] S12. Collect the size and hardness data of the particulate matter in the patient's diet through the component acquisition terminal, and at the same time collect the blood content information in the patient's feces through the component acquisition terminal, and store the collected data in the corresponding storage components.

[0014] Here it should be noted that, as a preferred technical solution of the intelligent screening and analysis method for colorectal cancer based on virtual reality, the analysis of the abnormal changes in the cancerous area based on the change situation of the three-dimensional model of the cancerous area includes the following specific steps:

[0015] S21. Based on the three-dimensional model of the cancerous area, conduct abnormal analysis of the cancerous area based on the change situation of the size contour and the image pixel value of the three-dimensional model of the cancerous area;

[0016] Among them, the abnormal analysis of the cancerous area includes the following specific steps:

[0017] S211. Obtain the change situation of the image pixel value of the cancerous area, and analyze the abnormality of the cancerous area image based on the difference between the image pixel value of the cancerous area and the pixel value of the normal tissue and the aggregation of the differences;

[0018] S212. Obtain the size and contour changes of the three-dimensional model of the cancerous region to get the volume of the cancerous region. By comparing the volume of the cancerous region with the normal volume, obtain the volume abnormality of the cancerous region. After performing weighted summation on the volume abnormality of the cancerous region and the image abnormality of the cancerous region, obtain the abnormal analysis result of the cancerous region. In this way, comprehensively judge the abnormality of the cancerous region through the volume and image of the cancerous region;

[0019] S22. Obtain the abnormal analysis result of the cancerous region in the previous cycle and the abnormal analysis result of the cancerous region in the current cycle for abnormal change analysis of the cancerous region. The calculation method for abnormal change analysis of the cancerous region is: the difference obtained by subtracting the abnormal analysis result of the cancerous region in the previous cycle from the abnormal change analysis of the cancerous region in the current cycle is divided by the maximum value of the normal range of the change amount;

[0020] S23. Obtain the abnormal analysis result of the cancerous region and the abnormal change analysis result of the cancerous region. After standardization and weighted summation, obtain the abnormal change analysis result of the cancerous region.

[0021] In this step, through the size and image changes of the cancerous region, perform abnormal change analysis of the cancerous region, and effectively evaluate the progression speed and treatment effect of the cancerous region.

[0022] It should be noted here that as a preferred technical solution of the intelligent screening and analysis method for colorectal cancer based on virtual reality, the abnormal analysis of feces based on the component information in feces, and then the comprehensive acquisition of the patient's diet for fecal abnormal compensation analysis includes the following specific steps:

[0023] S31. Obtain the blood content information in the feces of the patient in the corresponding cycle, and at the same time obtain the size and hardness data of the particulate matter in the patient's diet. Calculate the food abnormal compensation value based on the size and hardness data of the particulate matter in the patient's diet. Among them, the calculation formula for the food abnormal compensation value is: Among them, M is the number of particulate matters in the diet, Ydj is the hardness size of the jth particulate matter, Vj is the particulate volume of the jth particulate matter, Ydm is the safety value of the hardness of the diet particulate matter, Vm is the safety value of the volume of the diet particulate matter. In order to avoid damage to the cancerous region of the patient caused by overly hard or large food, the safety value of the hardness of the diet particulate matter and the safety value of the volume of the diet particulate matter are usually set;

[0024] S32. Based on the blood content information in the feces of the patient in the corresponding cycle, perform fecal abnormal analysis based on the blood content information in the feces of the patient in the corresponding cycle and the food abnormal compensation value. Among them, the formula for fecal abnormal analysis in the corresponding cycle is: Among them, Vx is the blood content information in the feces of the patient in the corresponding cycle, Vk is the safety value of the blood content in the feces, λ 为食 The influence coefficient of food abnormal compensation, thus avoiding the influence of diet on fecal abnormality;

[0025] S33. Obtain the fecal abnormality analysis results for the corresponding period and the fecal abnormality analysis results for the previous period. Based on the fecal abnormality analysis results for the corresponding period and the fecal abnormality analysis results for the previous period, obtain the fecal abnormality increase amount for the corresponding period. Obtain the weighted sum of the calculated fecal abnormality analysis results and the fecal abnormality increase amount for the corresponding period to obtain the fecal abnormality for the corresponding period.

[0026] Here, it should be noted that as a preferred technical solution of the intelligent screening and analysis method for colorectal cancer based on virtual reality, the analysis of the treatment effect of colorectal cancer based on the abnormal change analysis results of the cancerous region and the fecal abnormality compensation analysis results includes the following specific contents:

[0027] Obtain the fecal abnormality for the corresponding period and the abnormal change analysis results of the cancerous region, standardize and add them, and then take the reciprocal to obtain the treatment effect of colorectal cancer. Compare the obtained treatment effect of colorectal cancer with the pre-set treatment effect threshold. If the treatment effect of colorectal cancer is greater than or equal to the pre-set treatment effect threshold, it indicates that the treatment effect meets the requirements. If the treatment effect of colorectal cancer is less than the pre-set treatment effect threshold, it indicates that the treatment effect does not meet the requirements, and the medical staff is reminded to change the treatment plan.

[0028] The intelligent screening and analysis system for colorectal cancer based on virtual reality is implemented based on the above-mentioned intelligent screening and analysis method for colorectal cancer based on virtual reality, and specifically includes the following modules:

[0029] Acquisition module: Collect the image information of the cancerous region based on the acquisition terminal, construct a three-dimensional model of the cancerous region through virtual reality software, and at the same time obtain the information of the patient's diet and the components in the feces;

[0030] Cancer analysis module: Analyze the abnormal changes in the cancerous region based on the changes in the three-dimensional model of the cancerous region;

[0031] Fecal abnormality compensation analysis module: Analyze the fecal abnormality based on the component information in the feces, and then comprehensively obtain the patient's diet for fecal abnormality compensation analysis;

[0032] Treatment effect analysis module: Analyze the treatment effect of colorectal cancer based on the abnormal change analysis results of the cancerous region and the fecal abnormality compensation analysis results.

[0033] An electronic device includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0034] The processor executes the above-mentioned intelligent screening and analysis method for colorectal cancer based on virtual reality by calling the computer program stored in the memory.

[0035] A computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the above-described intelligent screening and analysis method for colorectal cancer based on virtual reality.

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0037] The present invention analyzes the abnormal changes in the cancerous region based on the changes in the three-dimensional model of the cancerous region, analyzes the abnormal feces based on the component information in the feces, and then comprehensively obtains the patient's diet for fecal abnormality compensation analysis. Based on the analysis results of the abnormal changes in the cancerous region and the fecal abnormality compensation analysis results, the treatment effect of colorectal cancer is analyzed. Based on the evaluation of the abnormal changes in the patient's cancerous region and the abnormal compensation evaluation of the feces during the treatment process, the cancer treatment effect of the patient is accurately analyzed, improving the accuracy and analysis efficiency of the treatment effect analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the overall process of the intelligent screening and analysis method for colorectal cancer based on virtual reality of the present invention;

[0039] Figure 2 It is a schematic diagram of the process of step S2 of the intelligent screening and analysis method for colorectal cancer based on virtual reality of the present invention;

[0040] Figure 3 It is a schematic diagram of the process of step S3 of the intelligent screening and analysis method for colorectal cancer based on virtual reality of the present invention;

[0041] Figure 4 It is a schematic diagram of the clarification process of the intelligent screening and analysis method for colorectal cancer based on virtual reality of the present invention;

[0042] Figure 5 It is a schematic diagram of the overall framework of the intelligent screening and analysis system for colorectal cancer based on virtual reality of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0044] It should also be noted that in this specification, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0045] Embodiment 1

[0046] To solve the technical problems raised in the background art, the present invention provides a preferred embodiment: as Figures 1 - 4 shown, an intelligent screening and analysis method for colorectal cancer based on virtual reality, which includes the following specific steps:

[0047] S1. Collect image information of the cancerous area based on the acquisition terminal, and construct a three-dimensional model of the cancerous area through virtual reality software, and at the same time obtain the component information in the patient's diet and feces;

[0048] Among them, collecting image information of the cancerous area based on the acquisition terminal, constructing a three-dimensional model of the cancerous area through virtual reality software, and at the same time obtaining the component information in the patient's diet and feces includes the following specific steps:

[0049] S11. Insert the image acquisition terminal into the cancerous position to obtain image information of the cancerous area, and here also includes a series of clarification processes to clarify the collected image of the cancerous area, such as Figure 4 shown, the clarification process includes: using linear transformation or histogram stretching to enhance the overall visual effect of the image, applying Gaussian filter or median filter to reduce noise, ensuring the retention of details, enhancing contrast, enhancing details in dark and bright parts, making the image more uniform, using the Canny algorithm to highlight edges, helping to identify the boundary of the cancerous area, distinguishing cancer from normal tissue through Otsu or manual threshold, applying dilation and erosion operations to optimize the segmentation result, reducing noise, and constructing a three-dimensional model of the cancerous area through virtual reality software to intuitively reflect the dangerous situation of the cancerous area;

[0050] S12. Collect the size and hardness data of the particulate matter in the patient's diet through the component collection terminal. At the same time, collect the blood content information in the patient's feces through the component collection terminal, and store the collected data in the corresponding storage component. Here, it should be noted that the size and hardness data of the particulate matter in the patient's diet are usually obtained from a dedicated diet formula. For the size, it can be obtained through images, and for the hardness, it can be obtained from the type attributes of the corresponding foods in the diet formula;

[0051] S2. Conduct an abnormal change analysis of the cancerous area based on the change situation of the three-dimensional model of the cancerous area;

[0052] Among them, conducting an abnormal change analysis of the cancerous area based on the change situation of the three-dimensional model of the cancerous area includes the following specific steps:

[0053] S21. Based on the three-dimensional model of the cancerous area, conduct an abnormal analysis of the cancerous area based on the change situation of the size contour and the image pixel value of the three-dimensional model of the cancerous area;

[0054] Among them, the abnormal analysis of the cancerous area includes the following specific steps:

[0055] S211. Obtain the change situation of the image pixel value of the cancerous area, and analyze the abnormality of the cancerous area image based on the difference between the image pixel value of the cancerous area and that of the normal tissue and the aggregation of the differences. Among them, the calculation formula for the abnormality of the cancerous area image can be: Among them, Lm is the set distance standard value for removing the distance unit, Lc is the average distance between the abnormal pixel points in the cancerous area, where the abnormal pixel points are the pixel points with differences from the pixel values of the normal tissue, n is the number of abnormal pixel points, ki is the pixel value of the i-th abnormal pixel point, and kim is the pixel value of the normal tissue corresponding to the i-th abnormal pixel point;

[0056] S212. Obtain the change situation of the size contour of the three-dimensional model of the cancerous area, obtain the volume of the cancerous area, and obtain the volume abnormality of the cancerous area through the comparison of the volume of the cancerous area with the normal volume. After performing a weighted sum of the volume abnormality of the cancerous area and the abnormality of the cancerous area image, obtain the abnormal analysis result of the cancerous area. In this way, comprehensively judge the abnormality of the cancerous area through the volume and image of the cancerous area;

[0057] S22. Obtain the abnormal analysis result of the cancerous area in the previous cycle and the abnormal analysis result of the cancerous area in this cycle, and conduct an abnormal change analysis of the cancerous area. The calculation method for the abnormal change analysis of the cancerous area is: the difference obtained by subtracting the abnormal analysis result of the cancerous area in the previous cycle from the abnormal change analysis of the cancerous area in this cycle is divided by the maximum value of the normal range of the change amount;

[0058] S23. Obtain the abnormal analysis result of the cancerous region and the abnormal analysis result of the change in the cancerous region. After standardization and weighted summation, obtain the abnormal change analysis result of the cancerous region;

[0059] In this step, analyze the abnormal changes in the cancerous region through the size of the cancerous region and image changes, and effectively evaluate the progression speed and treatment effect of the cancerous region;

[0060] S3. Conduct fecal abnormality analysis based on the component information in feces, and then comprehensively obtain the fecal abnormality compensation analysis by combining the patient's diet;

[0061] Among them, conducting fecal abnormality analysis based on the component information in feces and then comprehensively obtaining the fecal abnormality compensation analysis by combining the patient's diet includes the following specific steps:

[0062] S31. Obtain the blood content information in the feces of the patient in the corresponding period, and at the same time obtain the size and hardness data of the particulate matter in the patient's diet. Calculate the food abnormality compensation value based on the size and hardness data of the particulate matter in the patient's diet. The calculation formula for the food abnormality compensation value is: Among them, M is the number of particulate matters in the diet, Ydj is the hardness size of the j-th particulate matter, Vj is the volume of the j-th particulate matter, Ydm is the safety value of the hardness of the diet particulate matter, and Vm is the safety value of the volume of the diet particulate matter. In order to avoid damage to the patient's cancerous region caused by overly hard or large food, the safety value of the hardness of the diet particulate matter and the safety value of the volume of the diet particulate matter are usually set;

[0063] S32. Conduct fecal abnormality analysis based on the blood content information in the feces of the patient in the corresponding period and the food abnormality compensation value. The fecal abnormality analysis formula for the corresponding period is: Among them, Vx is the blood content information in the feces of the patient in the corresponding period, Vk is the safety value of the blood content in feces, and λ is the food abnormality compensation influence coefficient, thus avoiding the influence of diet on fecal abnormality;

[0064] S33. Obtain the fecal abnormality analysis result of the corresponding period and the fecal abnormality analysis result of the previous period. Obtain the fecal abnormality increase amount of the corresponding period based on the fecal abnormality analysis result of the corresponding period and the fecal abnormality analysis result of the previous period. Obtain the weighted sum of the calculated fecal abnormality analysis result of the corresponding period and the fecal abnormality increase amount to obtain the fecal abnormality of the corresponding period;

[0065] S4. Conduct colorectal cancer treatment effect analysis based on the abnormal change analysis result of the cancerous region and the fecal abnormality compensation analysis result;

[0066] Among them, the analysis of the treatment effect of colorectal cancer based on the analysis results of abnormal changes in the cancerous region and the analysis results of fecal abnormality compensation includes the following specific contents:

[0067] The analysis results of fecal abnormalities and abnormal changes in the cancerous region obtained for the corresponding cycle are standardized, added together, and then the reciprocal is obtained as the treatment effect of colorectal cancer. The obtained treatment effect of colorectal cancer is compared with the pre-set treatment effect threshold. If the treatment effect of colorectal cancer is greater than or equal to the pre-set treatment effect threshold, it indicates that the treatment effect meets the requirements. If the treatment effect of colorectal cancer is less than the pre-set treatment effect threshold, it indicates that the treatment effect does not meet the requirements, and the medical staff is reminded to change the treatment plan;

[0068] Regarding the value-taking problem of the set parameters in this embodiment: The preferred value-taking method is: Obtain historical cancerous region image information, patient diet and component information in feces, invite experts in the medical field to judge the treatment effect, and at the same time substitute the historical data into each step of this embodiment to calculate the treatment effect of colorectal cancer, and then import the calculation results and judgment results into the fitting software for data fitting, and output the value-taking of the set parameters that meets the maximum judgment accuracy rate;

[0069] The advantages of this embodiment compared with the prior art are: Analyze the abnormal changes in the cancerous region based on the changes in the three-dimensional model of the cancerous region, analyze the fecal abnormalities based on the component information in the feces, and then comprehensively obtain the patient's diet for fecal abnormality compensation analysis. Analyze the treatment effect of colorectal cancer based on the analysis results of abnormal changes in the cancerous region and the analysis results of fecal abnormality compensation, and accurately analyze the cancer treatment effect of the patient based on the abnormal change assessment of the patient's cancerous region and the abnormal compensation assessment of feces during the treatment process, improving the accuracy rate and analysis efficiency of the treatment effect analysis.

[0070] Embodiment 2

[0071] Such as Figure 5As shown, a virtual reality-based intelligent screening and analysis system for colorectal cancer is implemented based on the above-mentioned virtual reality-based intelligent screening and analysis method for colorectal cancer, and specifically includes: Acquisition module: Based on the acquisition terminal, it acquires the image information of the cancerous area, constructs a three-dimensional model of the cancerous area through virtual reality software, and simultaneously obtains the component information in the patient's diet and feces; Cancer analysis module: Based on the changes in the three-dimensional model of the cancerous area, it analyzes the abnormal changes in the cancerous area; Fecal abnormality compensation analysis module: Based on the component information in the feces, it analyzes the fecal abnormalities, and then comprehensively obtains the patient's diet for fecal abnormality compensation analysis; Treatment effect analysis module: Based on the analysis results of the abnormal changes in the cancerous area and the fecal abnormality compensation analysis results, it analyzes the treatment effect of colorectal cancer. It may also include a control module, which is used to control the operation of other modules. The specific steps of the above modules in this embodiment are specifically described in the above method embodiment and will not be elaborated in detail in this embodiment.

[0072] Embodiment 3

[0073] This embodiment provides an electronic device, including: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory;

[0074] The processor executes the above-mentioned virtual reality-based intelligent screening and analysis method for colorectal cancer by calling the computer program stored in the memory.

[0075] This electronic device may vary greatly due to configuration or performance differences, and can include one or more processors and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the virtual reality-based intelligent screening and analysis method for colorectal cancer provided by the above method embodiment, and it includes the following specific steps:

[0076] Based on the acquisition terminal, it acquires the image information of the cancerous area, constructs a three-dimensional model of the cancerous area through virtual reality software, and simultaneously obtains the component information in the patient's diet and feces;

[0077] Based on the changes in the three-dimensional model of the cancerous area, it analyzes the abnormal changes in the cancerous area;

[0078] Based on the component information in the feces, it analyzes the fecal abnormalities, and then comprehensively obtains the patient's diet for fecal abnormality compensation analysis;

[0079] Perform the treatment effect analysis of colorectal cancer based on the abnormal change analysis results of the cancerous region and the fecal abnormality compensation analysis results. The electronic device can also include other components for realizing the functions of the device. For example, the electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment will not be elaborated here.

[0080] Embodiment 4

[0081] This embodiment provides a computer-readable storage medium, on which a rewritable computer program is stored;

[0082] When the computer program runs on a computer device, it causes the computer device to execute the above-mentioned intelligent screening and analysis method for colorectal cancer based on virtual reality.

[0083] For example, the computer-readable storage medium can be a read-only memory, a random access memory, a compact disc read-only memory, magnetic tape, floppy disk, and optical data storage device, etc.

[0084] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

Claims

1. An intelligent screening and analysis method for colorectal cancer based on virtual reality, characterized in that: It includes the following specific steps: The terminal collects image information of the cancerous area, and builds a three-dimensional model of the cancerous area through virtual reality software, while obtaining information on the composition of the patient's diet and feces; Analyze abnormal changes in the cancerous area based on changes in the three-dimensional model of the cancerous area; Perform stool abnormality analysis based on stool component information, and then perform stool abnormality compensation analysis based on the patient's diet; The effect of colorectal cancer treatment was analyzed based on the analysis results of abnormal changes in the cancerous area and the abnormal stool compensation analysis results.

2. The method for intelligent screening and analysis of colorectal cancer based on virtual reality according to claim 1, characterized in that: The abnormal change analysis of the cancerous region based on the change of the three-dimensional model of the cancerous region comprises the following specific steps: Based on the three-dimensional model of the cancerous area, the abnormal analysis of the cancerous area is performed based on the changes in the size and contour of the three-dimensional model of the cancerous area and the changes in the image pixel values; Obtain the abnormal analysis results of the cancerous region of the previous cycle and the abnormal analysis results of the cancerous region of the current cycle to perform abnormal analysis of the cancerous region change. The abnormal analysis of the cancerous region change is calculated as follows: the difference between the abnormal analysis of the cancerous region change of the current cycle and the abnormal analysis results of the cancerous region change of the previous cycle is divided by the maximum value of the normal range of the change amount. The abnormal analysis result of the cancerous region is obtained by normalizing the abnormal analysis result of the cancerous region change and performing weighted summation to obtain the abnormal change analysis result of the cancerous region.

3. The method for intelligent screening and analysis of colorectal cancer based on virtual reality according to claim 2, characterized in that: The abnormal analysis of cancerous regions comprises the following specific steps: Obtain the change of image pixel values ​​in the cancerous area, and analyze the image abnormality in the cancerous area based on the difference between the image pixel values ​​in the cancerous area and the pixel values ​​in normal tissues and the aggregation of the differences; The size contour changes of the three-dimensional model of the cancerous area are obtained to obtain the volume of the cancerous area. The volume abnormality of the cancerous area is obtained by comparing the volume of the cancerous area with the normal volume. The abnormal analysis result of the cancerous area is obtained by weighted summing the volume abnormality of the cancerous area and the image abnormality of the cancerous area. In this way, the abnormality of the cancerous area is comprehensively judged by the volume and image of the cancerous area.

4. The method for intelligent screening and analysis of colorectal cancer based on virtual reality according to claim 3, characterized in that: The stool abnormality analysis based on the stool component information and then the stool abnormality compensation analysis based on the acquired patient diet includes the following specific steps: Obtaining blood content information in the patient's feces during the corresponding period, and simultaneously obtaining the size and hardness data of particles in the patient's diet, and calculating the food abnormality compensation value based on the size and hardness data of particles in the patient's diet; Based on the blood content information in the feces of the patient in the corresponding period, the feces abnormality analysis is performed based on the blood content information in the feces of the patient in the corresponding period and the food abnormality compensation value; Obtain stool abnormality analysis results of the corresponding period and stool abnormality analysis results of the previous period, obtain stool abnormality increase of the corresponding period based on stool abnormality analysis results of the corresponding period and stool abnormality analysis results of the previous period, obtain the calculated stool abnormality analysis results of the corresponding period and stool abnormality increase, perform weighted summation, and obtain stool abnormality of the corresponding period.

5. The method for intelligent screening and analysis of colorectal cancer based on virtual reality according to claim 4, characterized in that: The colorectal cancer treatment effect analysis based on the abnormal change analysis results of the cancerous area and the stool abnormal compensation analysis results includes the following specific contents: The analysis results of abnormal changes in stool abnormalities and cancerous areas in the corresponding period are obtained, standardized, added, and then the inverse is calculated to obtain the colorectal cancer treatment effect, and the obtained colorectal cancer treatment effect is compared with the pre-set treatment effect threshold. If the colorectal cancer treatment effect is greater than or equal to the pre-set treatment effect threshold, it means that the treatment effect meets the requirements. If the colorectal cancer treatment effect is less than the pre-set treatment effect threshold, it means that the treatment effect does not meet the requirements, and the medical staff is reminded to change the treatment plan.

6. The method for intelligent screening and analysis of colorectal cancer based on virtual reality according to claim 5, characterized in that: The method of collecting the image information of the cancerous area based on the acquisition terminal, constructing a three-dimensional model of the cancerous area through virtual reality software, and obtaining the composition information of the patient's diet and feces includes the following specific steps: The image acquisition terminal is inserted into the cancerous position to obtain the image information of the cancerous area, and a series of clear processing processes are also included to clear the collected images of the cancerous area, and a three-dimensional model of the cancerous area is constructed through virtual reality software; The size and hardness data of particles in the patient's diet are collected through the component collection terminal, and the blood content information in the patient's feces is collected through the component collection terminal, and the collected data is stored in the corresponding storage component.

7. The method for intelligent screening and analysis of colorectal cancer based on virtual reality according to claim 6, characterized in that: The clearing process includes: using linear transformation or histogram stretching to enhance the overall visual effect of the image, applying Gaussian filter or median filter to reduce noise, ensuring the retention of details, enhancing contrast, enhancing the details of dark and bright areas, making the image more uniform, using Canny algorithm to highlight edges, helping to identify the boundaries of cancerous areas, distinguishing cancerous tissues from normal tissues through Otsu or manual thresholds, and applying expansion and erosion operations to optimize segmentation results.

8. A virtual reality-based intelligent screening and analysis system for colorectal cancer, which is implemented based on the virtual reality-based intelligent screening and analysis method for colorectal cancer according to any one of claims 1 to 7, characterized in that: It specifically includes the following modules: Acquisition module: collects image information of cancerous areas based on the acquisition terminal, builds a three-dimensional model of the cancerous area through virtual reality software, and obtains information on the composition of the patient's diet and feces; Canceration analysis module: Analyze abnormal changes in cancerous areas based on changes in the three-dimensional model of the cancerous area; Abnormal stool compensation analysis module: Abnormal stool analysis is performed based on the stool component information, and then the abnormal stool compensation analysis is performed based on the obtained patient diet; Treatment effect analysis module: Analysis of the treatment effect of colorectal cancer is performed based on the abnormal change analysis results of the cancerous area and the abnormal stool compensation analysis results.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the virtual reality-based intelligent screening and analysis method for colorectal cancer as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the virtual reality-based intelligent screening and analysis method for colorectal cancer as described in any one of claims 1 to 7.

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