146 results about "Lesion group" patented technology

The invention discloses a lung CT image segmentation method based on Transform and U-Net, and the method comprises the steps: firstly obtaining a pulmonary nodule CT scanning image, carrying out the preprocessing, then constructing a segmentation model MCSTU-Net, enabling the model to extract abundant features through the fusion of a convolutional neural network and a Swin Transform module, and enabling the segmentation model to obtain a segmentation model MCSTU-Net. Enhancing and fusing feature information from different levels through a multiple attention fusion module; dividing the data set into a training set, a test set and a verification set, training and verifying the segmentation model, and finally performing focus segmentation on the pulmonary nodule CT scanning image by using the trained and verified model. According to the model and the method constructed by the invention, lesion tissues in the lung CT image can be segmented more accurately, the effectiveness of each module is verified through an ablation experiment, and doctors are assisted to diagnose and treat lung diseases.

The present invention relates to the field of computer vision technology, and specifically to a pathological slice image analysis method and system, comprising the following steps: based on pathological slice image information, combined with image preprocessing, edge information in the image is detected and extracted, color information is analyzed, color distribution characteristics in the image are evaluated, and image edge and color information is generated. In the present invention, by analyzing edge and color information, combined with the extraction of texture features, the identification process of tissue structure is optimized, the identification and segmentation of lesion tissue is made more accurate, the identification and segmentation of lesion tissue is performed using tissue structure feature data, the location of the lesion area and the identification of the type are achieved, and the visual presentation quality of the data and the intuitiveness of the diagnosis are improved by mapping the pathological slice image into a three-dimensional model and annotating it, helping medical professionals to fully understand the pathological conditions in the slice image and make accurate treatment decisions.

The invention provides a folate receptor targeting small molecule compound, a preparation method, a composition and application. Specifically provided is a compound represented by formula I or a pharmaceutically acceptable salt thereof. The compound or the pharmaceutically acceptable salt thereof provided by the invention can be used as a small-molecule targeting fluorescence contrast agent for assisting surgical treatment, has the advantages of novel structure, good solubility, small steric hindrance and strong targeting property, can obviously improve the view field of tumor surgery, and is beneficial to efficiently and accurately implementing excision of pathological tissues such as tumor tissues, boundary tissues and the like. # imgabs0 #

The utility model discloses a tumor electric field treatment device and a treatment system, the tumor electric field treatment device is provided with a frame body and a pole piece module, the frame body forms a skeleton structure of the treatment device, the pole piece module is attached to the frame body, the pole piece module is provided with a plurality of electrode contacts, and each electrode contact can form an active contact or a passive contact. The active contact and the radio frequency generation module can form a loop; after the treatment device is implanted into a tumor excision part, all the electrode contacts form active contacts, and all the electrode contacts and the radio frequency generation module form a loop to distinguish normal tissues from pathological tissues; after the normal tissue and the lesion tissue are distinguished, the electrode contacts in the normal tissue area form passive contacts, and the electrode contacts in the lesion tissue area form active contacts, so that targeted treatment of the lesion tissue is realized, and side effects generated by electric field treatment are reduced.

The invention relates to the technical field of hysteroscopes, and provides a hysteroscope image target detection method and system.The method comprises the steps that a hysteroscope is inserted into a uterine cavity of a patient, and high-definition images and environment data of tissue in the uterine cavity are collected in real time; performing automatic analysis by using an image recognition technology, recognizing different types of lesion tissues, and automatically performing lesion assessment to obtain first assessment data; according to the physiological data set of the patient, the future development potential of the lesion is analyzed and evaluated through association of a multi-level neural network model, risk grade division is carried out on a lesion area, and second evaluation data is generated; and automatically generating a risk assessment report according to the second assessment data. According to the invention, a targeted risk assessment report can be output objectively and automatically, and reliable data support and technical support are provided for scientific assessment and intelligent management of intrauterine lesions.

Treatment of damaged, diseased, abnormal, obstructive, cancerous or undesired tissue (e.g. a tumor, a benign tumor, a malignant tumor, a cyst, or an area of diseased tissue, etc) is provided by delivering specialized pulsed electric field (PEF) energy to target tissue areas in a specific dose so as to obtain a superior outcome. The PEF energy and delivery has been optimized to provide advanced treatment of target tissue areas, including destruction of undesired tissue and generation of improved inflammatory and immune responses. These various types of treatment are controlled by a variety of factors including the electrode geometry, the dose of PEF energy delivered, the time the energy is delivered over, and the waveform of the PEF energy itself. The PEF energy is delivered in the form a dose which is considered to be one application of the specialized energy. Each dose creates a lesion in the target tissue area.

The invention relates to the technical field of image analysis, in particular to a data visualization pathological diagram analysis system which comprises a pathological image noise reduction and enhancement module, a lesion area judgment module, a local texture and global structure fusion module, a self-adaptive multi-scale segmentation module and an error correction and optimization module. According to the method, by analyzing color channels, cell structure edge features and background noise distribution in the pathological image, accurately screening noise and optimizing image filtering, the image quality is effectively enhanced, the noise is reduced, the recognition accuracy of a lesion area is improved, and the recognition accuracy of the lesion area is improved in combination with cell nucleus gradient information and tissue edge distribution. The accuracy is further improved by using gray statistics and cell density, region division is weighted and optimized through the contrast and entropy of lesion tissues, the segmentation accuracy is ensured, the image segmentation scale is accurately adjusted in combination with the cell density and color gradient information, errors are reduced, accurate segmentation of lesion regions is ensured, and the accuracy of image segmentation is improved. And finally, the precision and reliability of overall image analysis are improved.

The invention provides an autonomous three-dimensional tissue ablation control system based on a soft-bodied robot, and relates to the field of soft-bodied robots. In order to realize precise ablation of lesion tissues of a laser ablation system in a narrow in-vivo environment, a laser tissue interaction model is pre-constructed to describe an interaction relationship between blue laser and tissues, so that a robust ablation depth control method is developed; in addition, a self-adaptive laser ablation path tracking method combining a soft robot main body and an OCT imaging system is innovatively provided; finally, a surgical robot system with autonomous and precise three-dimensional laser ablation capability is constructed, and the precision, safety and automation level of a laser ablation operation can be remarkably improved.

The invention relates to the technical field of image data processing, in particular to a chest image three-dimensional reconstruction method for an early-stage lung cancer patient, which comprises the following steps: acquiring a lung area in each lung slice image in a lung slice image sequence of the early-stage lung cancer patient, segmenting a plurality of low-density tissue connected domains from the lung area, according to the area difference of the low-density tissue connected domains between the continuous adjacent lung slice images, the lesion possibility of the low-density tissue connected domains is determined, so that the low-density tissue connected domains are divided into lesion tissue connected domains and airway tissue connected domains, and different marks are given to the lesion tissue connected domains and the airway tissue connected domains; and converting the marked lung slice image sequence into a three-dimensional model. According to the method, the lesion tissue and the airway tissue are accurately distinguished, so that the capability of expressing the early lesion tissue by the three-dimensional reconstruction model is improved.

The utility model provides a curettage tool for apical surgery, which comprises a handle, a neck part and a curettage head, the handle is connected with the curettage head through the neck part, the neck part is bent by 80-100 degrees, the curettage head is shovel-shaped, and one end of the curettage head far away from the neck part is provided with a tip. Through the shovel-shaped design of the digging spoon head, the digging spoon can extend into the position where tooth roots are difficult to scrape, and the problem that the included angle between the root tip lesion lingual side and the tooth surface is an acute angle and is difficult to scrape thoroughly is solved. By means of the specially designed angle, diseased tissues right behind and behind the tooth root can be scraped more effectively, residues of granulation tissues can be reduced, the healing speed of root apex bone defects is increased, and the operation efficiency is improved.

The invention relates to the technical field of medical instruments, in particular to an ultrasonic endoscope biopsy instrument which comprises a handle mechanism, a needle tube, a needle core and a Luer seat. The needle tube is communicated with the Luer seat, a connecting cap is fixedly arranged at one end of the needle core, the connecting cap is movably matched with the Luer seat, and the needle core penetrates through the Luer seat and an inner cavity of the needle tube; an opening communicated with the outside is formed in the end, away from the Luer base, of the needle tube, a brush section is arranged at the end of the needle core, and a plurality of cell brushes are arranged along the brush section. In order to solve the technical problem that an existing ultrasonic biopsy sampling method has defects, when the ultrasonic biopsy sampling device is used, lesion tissue can be punctured through a needle tube to develop an activity channel for a needle core in the lesion tissue, and then the lesion tissue can be repeatedly rubbed by a cell brush in a manner of pushing and pulling a connecting cap, so that the lesion tissue can be conveniently sampled. More tissue fluid exudes from the lesion tissue or more tissue structures fall off, and the cell brush can be used for well collecting and sampling, so that enough lesion samples are collected to facilitate pathological analysis.

The invention belongs to the technical field of medical instruments, and discloses a digestive endoscopy diseased region accurate positioning and marking device which comprises a controller, an endoscope hose is fixedly connected to the bottom of the controller, and an instrument insertion opening is formed in the right side of the controller. Through the arrangement of the sleeve, the dye tube, the pressurization air bag and the baffle, after an operator observes a diseased region through the endoscope hose, the operator only needs to align the endoscope hose to the diseased region, and by pressing the pressurization air bag, air in the pressurization air bag enters the dye tube through the inner hose; the baffle can be pushed to rotate outwards under the action of air pressure, meanwhile, methylene blue in the dye tube is sprayed out under the action of air flow, a diseased region is marked, the methylene blue can be absorbed by normal mucous membrane cells, and diseased tissue shows dyeing difference due to abnormal cell function and poor absorption capacity, so that the diseased region is marked. Therefore, the effect of accurate positioning is achieved.

The invention provides a method for reconstructing a three-dimensional model based on artificial intelligence by using a two-dimensional image and an application thereof, when an implant is required to replace a lesion tissue during an operation, the lesion tissue does not need to be scanned by three-dimensional CT scanning, and only the two-dimensional medical image needs to be shot, so that the three-dimensional model is reconstructed. And a three-dimensional model of the lesion tissue can be obtained through the artificial intelligence model. A doctor can understand the specific condition of a surgical site through the three-dimensional model, then make a targeted surgical scheme, and directly design a corresponding implant and a customized surgical auxiliary tool in the three-dimensional model according to the surgical site. Meanwhile, related auxiliary design of the implant and the surgical auxiliary tool in the manufacturing process through the three-dimensional printing technology can be automatically generated, and finally, the generated design data of the implant and the surgical auxiliary tool are sent to the three-dimensional printing equipment to directly complete printing operation of the implant and the surgical auxiliary tool. The working process can be greatly simplified, the accuracy is improved, and the design requirements of customized medical equipment are met.

The invention discloses a simulation image generation method, device and system and a storage medium. The simulation image generation method can comprise the following steps: acquiring a scanning image of a frozen section of the diseased tissue; processing the scanning image by using a pre-trained diffusion model to generate a simulation image of the paraffin section; wherein the diffusion model is embedded into a feature space mapping function to encode clinical feature information of the diseased tissue, and image features related to the scanned image are fused by using a multi-end attention mechanism. According to the method, the diffusion model is used for processing the frozen section image of the lesion tissue, and the realistic restoration of the paraffin section can be obtained, so that the accuracy of intraoperative frozen pathological diagnosis is improved.

The invention relates to the technical field of alimentary canal diagnosis and treatment, in particular to an alimentary canal detection drug delivery system which comprises an alimentary canal sensing unit for collecting an image, a pH value, a temperature and pathological tissue pathological characteristic data in an alimentary canal cavity; the lesion positioning analysis unit identifies a lesion area through an image segmentation algorithm, constructs a lesion three-dimensional coordinate model according to physiological parameters, prejudges a lesion displacement trend in combination with an alimentary canal peristalsis rule, analyzes a lesion state in stages, and outputs lesion severity; the response type drug delivery module controls the micro drug delivery device to perform targeted release and adjust the drug release rate based on the lesion coordinates and the intracavity environment parameters; the data collaboration platform shares a detection result and a drug administration record through a real-time interaction interface; the curative effect feedback unit is used for collecting physiological index change and patient symptom improvement data after drug administration, judging the drug onset period and possible adverse reactions, and optimizing drug administration parameters and detection frequency. Therefore, the problems of low targeting precision, poor diagnosis and treatment efficiency and the like in the prior art are solved.

The invention discloses a hyperspectral imaging-based rice blast early diagnosis method, and relates to the technical field of agricultural disease monitoring, and the specific steps of the method are as follows: S100, obtaining spectral data of rice in a region, S200, constructing a healthy tissue end member spectrum and predicting a lesion tissue end member spectrum, S300, constructing a mixed pixel model, and combining constraint conditions to determine the early diagnosis of rice blast. According to the method, through the mixed pixel model of the time sequence dynamic end members, the fine change of the spectrum can be accurately captured in the early stage of rice blast infection, through continuous time sequence hyperspectral imaging, the real-time spectrum of the rice blast can be accurately captured, and the real-time spectrum of the rice blast can be obtained. And learning dynamic evolution of a lesion end member spectrum by combining an LSTM network, regarding a mixed pixel at each time point as a mixture of a healthy tissue end member spectrum and a gradually evolved lesion tissue end member spectrum, and inverting the state and abundance of the lesion tissue end member spectrum at each time point so as to quantitatively monitor the early development progress of infection.

The full-automatic meniscus cutter comprises a plasma cutter head, a connecting rod, a rotating shaft, a joint insertion rod, a supporting frame and a control system, the plasma cutter head is connected to the front end of the connecting rod and used for cutting lesion tissue of a meniscus, and the rear end of the connecting rod is connected with the rotating shaft; the rotating shaft is rotationally connected to the rear end of the joint insertion rod and is perpendicular to the joint insertion rod, the front end of the joint insertion rod is used for being inserted into a joint cavity and abutting against a joint capsule, a rotating driver used for driving the rotating shaft to rotate is arranged on the supporting frame, and the connecting rod is of a telescopic rod structure and is provided with a telescopic driver used for driving the connecting rod to stretch out and draw back. The control system is electrically connected with the rotating driver and the telescopic driver and used for commanding and controlling the rotating shaft to rotate and commanding and controlling the plasma tool bit to reciprocate front and back. The meniscus cutter has the advantages that automatic cutting and precise cutting are achieved, operation time is shortened, damage to surrounding healthy tissue is reduced, and monitoring and precise control are achieved.

The utility model relates to the field of temporary storage devices, in particular to a pathological tissue biopsy temporary storage device. The utility model provides a pathological tissue biopsy temporary storage device which can eject pathological tissues out of a temporary storage cylinder and is convenient for workers to take. A pathological tissue biopsy temporary storage device comprises a temporary storage barrel, a first spring, a mounting frame and a storing and taking mechanism, the middle of the temporary storage barrel is slidably and rotatably connected with the mounting frame, the first spring is connected between the mounting frame and the temporary storage barrel through a gasket, and the storing and taking mechanism capable of fixing and rapidly taking pathological tissues is arranged on the mounting frame. When diseased tissue needs to be taken out, the limiting piece is pulled to move to be separated from the upper portion of the mounting frame, so that the first spring rebounds, the mounting frame is driven to move upwards, the diseased tissue moves upwards, and the effects that the diseased tissue can be ejected out of the temporary storage barrel, and workers can take the diseased tissue conveniently are achieved.

The present invention is applicable to the technical field of medical devices, and provides a claw mechanism for removing diseased tissue in the body. The claw mechanism includes an opening and closing mechanism and a clamping mechanism, and the clamping mechanism is sleeved in the opening and closing mechanism; the clamping mechanism includes a sliding frame, a tissue wrapping film, and a removal forceps, the sliding frame can be slidably sleeved in the opening and closing mechanism, the tissue wrapping film is arranged in the sliding frame, the clamping end of the removal forceps is penetrated in the sliding frame, one end of the sliding frame is surrounded by a claw structure, and can be opened and closed with the opening and closing mechanism; one end of the tissue wrapping film is connected to one end of the sliding frame to form a first opening, and the other end of the tissue wrapping film is connected to the other end of the sliding frame to form a second opening, and the second opening is opened and closed with one end of the sliding frame. The present invention effectively isolates the diseased tissue from other body tissues in the abdominal cavity through the tissue wrapping film to avoid contaminating other body tissues in the abdominal cavity.

The invention discloses targeted recognition intestinal microenteroscope intelligent release equipment, and relates to the technical field of intestinal microenteroscopes, the targeted recognition intestinal microenteroscope intelligent release equipment comprises a cart, a top plate is fixedly connected to the upper side of the cart, a disinfection tank is arranged in the middle of the upper side of the top plate, and an observation mechanism is arranged in the disinfection tank; the left side of the upper surface of the top plate is fixedly connected with a placement plate, the upper side of the placement plate is provided with a detection mechanism, and the outer wall of the cart is fixedly connected with a control module. According to the device, a temporary closed treatment cavity can be actively constructed around a lesion area in the intestinal tract, the medicine is limited in the cavity through the design, the medicine makes long-time and high-concentration contact with lesion tissue, and the device has the advantages of being high in practicability and beneficial to refined operation of intestinal tract administration.

The invention relates to the field of computer vision and medical images, in particular to a placental lesion tissue detection method and system based on artificial intelligence, and the method comprises the following steps: collecting and fusing multi-modal data, and obtaining the multi-modal data of placental lesion tissues by adopting an imaging technology; after the multi-modal data are aligned, lesion tissue labeling is carried out on the visible light image, and a reference label is obtained; and based on a cross-modal space mapping relationship, migrating the reference label to other modals to support multi-modal cooperative training. A software module of the system receives encrypted original data from a hardware module, a containerization technology is adopted to package a model and an operation environment thereof into independent units for deployment and operation, the detection method is realized, and the system is integrated with an external medical information system. According to the method, the detection rate of lesions is remarkably increased, the false detection rate is reduced, the detection performance is remarkably improved, and the detection environment deployment cost of a hospital is greatly reduced.

The utility model provides an ultrasonic thrombolysis catheter. The ultrasonic thrombolysis catheter comprises an infusion basket, a driving mechanism and an ultrasonic assembly. The infusion basket comprises a plurality of infusion catheters, and a hollow structure is defined by the infusion catheters. The driving mechanism is used for controlling the infusion basket to expand and open or close in the radial direction. The ultrasonic assembly comprises a plurality of ultrasonic electrodes, and the ultrasonic electrodes are fixed in the hollow structure of the infusion basket. During use, the infusion basket which is initially in a closed state is conveyed to a lesion position, and the infusion basket is expanded and opened through the driving mechanism, so that blood flows through thrombus. Thrombolysis medicine enters each infusion catheter and is conveyed to diseased tissue through the infusion holes in the infusion catheters, the thrombolysis medicine is accurately released to thrombus, accurate thrombolysis is achieved, and the dosage of the thrombolysis medicine is reduced. Meanwhile, the ultrasonic electrode is communicated with an ultrasonic generator, so that the ultrasonic generator generates ultrasonic waves, and the ultrasonic waves accelerate point dissolution by unfastening and diluting a fibrin chain, so that more drug receptor sites are exposed.

Embodiments described relate to a medical device including an invasive probe that, when inserted into an animal (e.g., a human or non-human animal, including a human or non-human mammal), may aid in diagnosing and / or treating a lesion of the animal (e.g., a growth or deposit within vasculature that fully or partially blocks the vasculature). The invasive probe may have one or more sensors to sense characteristics of the lesion, including by detecting one or more characteristics of tissues and / or biological materials of the lesion. The medical device may be configured to analyze the characteristics of a lesion and, based on the analysis, provide treatment recommendations to a clinician. Such treatment recommendations may include a manner in which to treat a lesion, such as which treatment to use to treat a lesion and / or a manner in which to use a treatment device.

The invention relates to the technical field of magnetic resonance and medicine, and discloses a magnetic resonance blood vessel structure analysis method and device, computer equipment and a storage medium, the method comprises the following steps: obtaining first T2 relaxation time and second T2 relaxation time, the first T2 relaxation time is T2 relaxation time obtained by nuclear magnetic resonance imaging by using an SE sequence, and the second T2 relaxation time is T2 relaxation time obtained by nuclear magnetic resonance imaging by using an SE sequence; the second T2 relaxation time is T2 relaxation time obtained by performing nuclear magnetic resonance imaging by adopting a GE sequence; calculating based on the first T2 relaxation time and the second T2 relaxation time, and determining the average radius of blood vessels in the lesion tissue and the microvessel density; medical analysis is carried out based on the average radius and the capillary density of the blood vessels, the average radius and the capillary density of the blood vessels in the diseased tissue can be provided and then analyzed, the blood vessel condition of the diseased tissue can be evaluated, and the blood vessel change of the surrounding area of the diseased tissue can be quantitatively analyzed; a more comprehensive treatment effect is facilitated, and the accuracy of early diagnosis of tumors is improved.

The invention relates to an electrical impedance frequency difference measurement method based on a center driving measurement mode, and belongs to the technical field of impedance measurement, and the method comprises the following steps: S1, taking a human body as a quasi-static field, taking a probe as an internal current source, taking body surface electrodes as a current sink in turn, and building a field equation of impedance frequency difference measurement of an operation region; s2, determining boundary conditions of impedance frequency difference measurement driven by the internal source electrode; s3, in the measurement process, current is injected from the internal source electrode and flows out from the external current, outflow electrodes are switched in sequence, the potential difference between the other body surface electrodes is measured, and a voltage difference matrix is generated; and S4, performing frequency difference calculation, and solving the change value of the conductivity of the diseased tissue caused by ablation in the operation process.

The invention discloses a cardiovascular lesion tissue biopsy sampling device, and relates to the technical field of biopsy sampling, the cardiovascular lesion tissue biopsy sampling device comprises a cannula, a cannula body is fixed in the cannula, and the cannula and the cannula body are provided with gaps; the piston plate is arranged in the pipe body in a sliding mode, and a plurality of round holes are formed in the side wall of the piston plate; the sealing assembly is in sliding connection with the piston plate, and the sealing assembly is used for sealing the circular hole; and the supporting assembly is fixed in the pipe body, and the supporting assembly is connected with the piston plate. By means of movement of the piston plate and cooperation with work of the sealing assembly, negative pressure can be generated at the notch so that diseased tissue can enter the tube body through the notch, normal saline can be injected into the middle end of the tube body through the supporting assembly and the transmission assembly, the cut diseased tissue can be output out of the tube body, and therefore the diseased tissue can be conveniently cut. And the next sampling work can be carried out.

The present application relates to the technical field of tumor radiotherapy and magnetic induction hyperthermia medical devices, and discloses a composite particle magnetic hyperthermia-radiotherapy system implanted via a soft ultrasonic endoscope, comprising a soft ultrasonic endoscope, a puncture needle sliding in a working channel of the soft ultrasonic endoscope, one end of the puncture needle being connected to a particle channel, the particle channel being loaded with composite particles; a propulsion needle pushing the composite particles in the particle channel to the puncture needle; the present application can sequentially implant composite particles, so that it can have magnetic hyperthermia and radiotherapy effects, synergistically enhance sensitivity, and can more efficiently kill diseased tissues and improve treatment effects; and the system is guided by a soft ultrasonic endoscope and intervenes through natural cavities to puncture and implant composite particles in malignant tumors in human cavities such as the digestive tract, thereby broadening the application scenarios of magnetic hyperthermia and radioactive particle therapy; due to the self-temperature-control characteristics of the composite particles, the system does not require a temperature measurement and control device, thereby reducing the complexity of the equipment while ensuring the targeting, safety and efficacy of tumor treatment.

The invention relates to the field of dental pulp surgical instruments, and discloses a device for quickly cleaning diseased tissues around apical periodont.The device comprises a guide head, a scraping rod, scraping thorns, an adjusting rod, a main handle, an adjusting knob and an annular clamping groove; the guide head is fixed to the top end of the adjusting rod, the elastic scraping rods are evenly distributed along the circumference of the conical bottom of the guide head, the scraping thorns and the scraping rods are integrally formed, the scraping thorns are in a barb shape and evenly distributed in the length direction of the scraping rods, and the two ends of the scraping rods are connected with the conical bottom of the guide head and an annular clamping groove in the front end of the main handle respectively. And the adjusting knob is sleeved outside the main handle and is in threaded engagement with the adjusting rod. A linkage adjusting structure of the adjusting knob, the adjusting rod and the scraping rod and an elastic material are adopted, and the device can be contracted, unfolded and bent, so that the device is matched with a periapical bone cavity structure, periapical lesion tissues are thoroughly scraped and cleaned, the problems that a manual curette is poor in bone cavity adaptability and has a blind area are solved, the scraping efficiency is high, operation is standardized and safe, bone tissue damage is avoided, and the device is suitable for popularization and application. The cleaning effect is good and the view is clear.

The application relates to the technical field of bronchoscopes, and discloses a multifunctional bronchoscope which comprises a bronchoscope main body, one end of the bronchoscope main body is connected with a front end part, a camera and a light lamp are fixed on the front end part respectively, biopsy holes are arranged on the bronchoscope main body and the front end part, a biopsy head is slidably arranged in the biopsy holes, a sampling cylinder is fixed in the biopsy head, one end of the biopsy head is connected with a suction hose, two rotatable cutters are arranged on the biopsy head, and one end of each cutter is connected with a first pull rope; a rectangular groove is arranged on the front end part, a movable supporting plate is arranged in the rectangular groove, the incision area of suspicious lesion tissue is reduced during cutting, the cutting incision is relatively smooth, the amount of bleeding can be reduced, the healing effect is improved, the surface of the camera and the light lamp can be automatically wiped to remove stains, and the quality of post-sampling inspection is improved.

The application discloses a fine segmentation method for prostate and internal lesion areas based on large pathological sections, and specific steps are as follows: step 1, sequentially performing fixation, paraffin embedding, continuous transverse sectioning and HE staining operations on the whole tissue; step 2, extracting an HE staining image; step 3, sequentially scanning the pathological sections in step 2 into digital pathology; step 4, processing the digital pathology; step 5, performing image registration and three-dimensional image reconstruction on analysis results of multiple pathological sections processed in step 4; step 6, training a magnetic resonance multi-modal sequence segmentation model; step 7, extracting features of normal prostate tissue and lesion tissue in three sequences; step 8, acquiring high-risk factor information and quantifying features; step 9, constructing a sample feature matrix; and step 10, predicting the malignancy degree of prostate cancer. The method can realize more accurate benign and malignant evaluation of prostate lesions and prediction of the malignancy degree of prostate cancer.