34 results about "Colonoscopy" patented technology

The invention belongs to the technical field of image detection, and discloses an enteroscopy auxiliary diagnosis method and system based on artificial intelligence, and the method comprises the steps: obtaining enteroscopy image data in an enteroscopy process, and synchronously extracting corresponding auxiliary collection information from the enteroscopy image data; caching the enteroscope image data and the auxiliary acquisition information frame by frame and keeping timestamps aligned; performing standardized correction and adaptive enhancement processing on the enteroscope image data after timestamp alignment; a self-adaptive gamma dynamic enhancement mechanism is introduced, and intestinal tract wrinkles are reserved to obtain an enhanced image; lesion positioning and category screening are conducted on the enhanced image through the target detection model, multi-scale feature aggregation and time sequence consistency constraint are conducted in combination with auxiliary collection information, and lesion candidate areas are generated; performing morphological, texture and boundary structure analysis on the lesion candidate region, and extracting lesion morphological features; and the efficiency and the reliability of enteroscopy diagnosis can be improved.

The invention discloses an intestinal polyp identification method based on images and multi-modal data. The method comprises the following steps: acquiring pathological images of a plurality of microscopes, objective magnification information corresponding to the pathological images, and text information corresponding to enteroscopes; performing data preprocessing on each frame of acquired pathological image and text information to obtain a training data set; a multi-scale multi-modal feature classification network is constructed, the training data set is used for training, and a trained multi-scale multi-modal feature fusion classification network is obtained; the method comprises the following steps: collecting a microscope pathological image of a patient, obtaining corresponding enteroscope text information, respectively carrying out data preprocessing, and inputting into a multi-scale multi-modal feature fusion classification network to obtain disease category prediction of a model. According to the method, pathological images and enteroscope text information are fully fused, accurate classification and prediction of disease types are finally achieved, the effect and efficiency of multi-modal diagnosis of intestinal diseases are improved, and therefore the accuracy of patient diagnosis is improved.

The utility model discloses an improved excretion protection bag suitable for an enteroscope, and belongs to the technical field of medical care appliances. An improved excretion protection bag suitable for an enteroscope comprises an ostomy bag body, an inlet and an outlet are formed in the two ends of the ostomy bag body respectively, an adhesive panel is fixedly connected to the outer surface, close to the inlet, of the ostomy bag body, a finger stall is fixedly connected to the interior of the outlet, and the enteroscope is arranged at the other end of the finger stall. The colonoscope is inserted into the ostomy bag body in a penetrating mode and extends out of the inlet, a negative pressure suction connector is arranged at the bottom of the ostomy bag body, a negative pressure suction tube is fixedly connected to the end of the negative pressure suction connector, a negative pressure bottle is arranged at the other end of the negative pressure suction tube, and a ventilation tube is arranged at the end of the negative pressure bottle. According to the utility model, the protection effect can be effectively and obviously reflected, so that medical personnel, the surrounding environment and the ground are not polluted, the skin of a patient is protected from being damaged, and the skin of the patient is kept dry and clean.

1. Name of the product in this design: Patient pants for colonoscopy. 2. Purpose of this design: To be worn by patients during colonoscopy. 3. The key point of the design of this product lies in its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

1. Name of the product in this design: Disposable colonoscopy pants. 2. Purpose of this design: To be worn during colonoscopy. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. The name of this design product: Colonoscope. 2. Purpose of this design product: This design product is used for colonoscopy. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention relates to the technical field of medical equipment, in particular to a nursing auxiliary device for enteroscopy, which comprises a protective barrel and a traction piece, and because a plurality of protective bags are arranged at intervals in the axial direction of the protective barrel, part of rectum of a detector is in an unexpanded state in the axial direction of the protective barrel, so that the discomfort of the detector is reduced; a traction piece is arranged on each protection bag, a plurality of first traction units and a plurality of second traction units are arranged in each traction piece, and according to the distribution state of the plurality of first traction units and the plurality of second traction units in the circumferential direction of the protection bags, the traction pieces are arranged in the protection bags; the strength of the first traction unit and the second traction unit for traction of the outer contour of the protection bag towards the axis of the protection barrel is improved, so that in the circumferential direction of the protection bag, the dilation degrees of the rectums of different parts of the detected person are different, and the discomfort of the detected person is further reduced.

The application discloses a method for predicting biological age based on enteroscopy pictures, and belongs to the field of digestive endoscopy image analysis. The method first screens enteroscopy pictures without abnormalities, and completes quality control and edge cutting; then constructs an image package with multiple pictures in a single report, extracts features and weighted aggregation by using a multi-instance learning model based on attention; and converts age prediction into a classification task and introduces a Gaussian soft label to realize high-precision biological age prediction. The application can mine aging-related features from enteroscopy images without obvious abnormalities, does not need additional equipment and invasive operation, has strong generalization, and can be used for risk stratification of enteroscopy-negative people and precise prevention and treatment of colorectal cancer.

The utility model discloses an anti-pollution enteroscope assist device, and relates to the technical field of medical equipment. Comprising a rotating plate and an auxiliary clamping structure, the auxiliary clamping structure is arranged on the rotating plate and comprises a lower half clamping frame, a rotating clamping frame, an extending half frame, a lantern ring and a rubber ring, one side of the outer wall of the lower half clamping frame is fixedly arranged on the rotating plate, one side of the outer wall of the rotating clamping frame is rotationally embedded in the rotating plate, one side of the outer wall of the extending half frame is fixedly arranged on the rotating plate, and the lantern ring is arranged in the extending half frame. The inner wall of the lantern ring is slidably arranged on the extending half frame in a sleeving mode, and one side of the outer wall of the rubber ring is fixedly arranged on the lantern ring. By means of the lower half clamping frame, the rotary clamping frame, the extending half frame, the lantern ring and the rubber ring, the auxiliary part of the enteroscope can be fixed to the bedside, the enteroscope penetrates through the auxiliary part and slowly stretches into the large intestine, the enteroscope is supported and is more stable in the stretching process, medical workers can conveniently free hands to conduct other detection operation, and the labor intensity of the medical workers is relieved. And convenience is provided for medical staff.

The invention discloses a method for assisting in improving Boston scoring precision of AI calculation by using enteroscope retreating speed, and belongs to the crossing field of enteroscopy and artificial intelligence technology. The method mainly comprises the following steps: in an enteroscope retreating stage, starting an AI calculation Boston scoring module and a retreating speed calculation module on the basis of a preset condition, synchronously obtaining scores and retreating speeds, and storing the scores and the retreating speeds in sequence; accumulating the mirror retreating speed to generate a coordinate sequence, and determining the length of the intestinal tract after sorting; dividing the intestinal tract into a plurality of sections and distributing corresponding coordinate sequences; and calculating the average cleanliness of each segment by adopting an integral algorithm in combination with the coordinate difference values in the segments and the corresponding scores, and summarizing to obtain a final score. According to the method, the problem of score weight imbalance caused by regional residence time difference in the prior art is solved, the Boston score accuracy and reliability are improved, the method is adaptive to the intestinal individual difference of patients, and reliable support is provided for intestinal lesion investigation and clinical diagnosis and treatment.

The invention discloses an enteroscopy rectum protection device, and relates to the technical field of medical examination, the enteroscopy rectum protection device comprises a fixing support, and further comprises a smearing assembly, a speed adjusting assembly and a pressurizing assembly, by arranging the smearing assembly, a lubricating agent can be evenly smeared on an enteroscopy body, when the lubricating agent is not evenly smeared, supplementary smearing can be conducted, and the lubricating quality is guaranteed; by arranging the speed adjusting assembly, the use amount of the lubricant can be automatically selected according to actual requirements when the lubricant is smeared, it is guaranteed that observation of a doctor on the illness state is not affected under the condition that the lubricant achieves the lubricating effect, and the use amount of the lubricant is saved; by arranging the two different driving motors, the two different driving motors can be used in a matched mode according to actual requirements, the spraying speed of the lubricating agent is controlled, the spraying or supplementary coating function of the lubricating agent is selected according to the requirements under the condition of independent use, and the use modes are diversified.

This invention proposes a colonoscopy image enhancement method based on an improved generative adversarial network, which relates to the field of image data processing. The invention proposes a colonoscopy image data processing process, including acquiring colonoscopy image data, constructing a generator, constructing a discriminator, constructing a colonoscopy image enhancement model, and obtaining colonoscopy-enhanced images. The generator is based on the encoder-decoder structure of ResUNet, combined with a dual-branch attention mechanism, to extract multi-scale features of colonoscopy images. By fusing features at different scales, features in key areas of the image are enhanced to generate enhanced colonoscopy images. The discriminator consists of multiple layers of convolution, combines a specific loss function to evaluate the enhancement effect of the generated image, and guides the generator to produce high-quality colonoscopy-enhanced images through a feedback mechanism.

The invention discloses a method for reducing stem cell injection loss and improving injection accuracy, which comprises the following steps: determining radioactive rectal injury diagnosis and treatment indications according to clinical medical history and previous examination, determining typical focuses in intestinal tracts through enteroscopy, preparing a stem cell preparation, and performing multi-point injection administration on typical lesion parts. Air in the endoscope injection tube is emptied before injection; a submucous membrane water cushion is formed by utilizing the endoscope injection tube; a vertical injection method is adopted for dosing and air is used for boosting; according to a preset formula, the injection dosage of each diseased region and each injection site is calculated, the injection speed is controlled, the injection dosage is finely adjusted according to the diseased condition, and the endoscope is retreated after injection is finished; the problems of dose loss and inaccurate injection existing in stem cell injection in radioactive rectal injury treatment are solved, and the effect and reliability of stem cell treatment are improved.

The invention relates to the technical field of brain-computer interfaces, in particular to a brain-controlled enteroscope operating system based on mixed reality. According to the system, an endoscope real-time image is obtained through a head-mounted display visual induction module, and a visual stimulation signal is generated on a display interface based on a preset visual induction stimulation normal form. An electroencephalogram signal generated by the target object for the visual stimulation signal is acquired through an electroencephalogram signal acquisition module, and operation intention information of the target object is determined based on the electroencephalogram signal through an electroencephalogram signal analysis module. The main control module is used for generating the corresponding enteroscope control instruction based on the operation intention information, and the enteroscope auxiliary manipulator module is used for executing the corresponding enteroscope control operation based on the enteroscope control instruction, so that the accuracy and the safety of the enteroscope operation are improved.

The invention discloses an ulcerative colitis image recognition method based on artificial intelligence, and the method comprises the steps: obtaining standard endoscope historical images of different intestinal examination positions, and enabling a plurality of standard endoscope historical images corresponding to each intestinal examination position to form a standard enteroscope group, calculating a curved surface smoothness standard value, an intestinal tract standard inner diameter and a blood vessel distribution standard state of an intestinal tract examination position corresponding to each standard enteroscope group; obtaining to-be-compared intestinal endoscopic examination images at different intestinal examination positions, sequentially grouping according to the intestinal examination positions to form a plurality of to-be-compared enteroscope groups, and calculating a to-be-detected curved surface smooth value, a to-be-detected intestinal inner diameter and a blood vessel distribution measurement state of the intestinal examination position corresponding to each to-be-compared enteroscope group; based on a comparison result of the smooth value of the to-be-measured curved surface, the inner diameter of the to-be-measured intestinal tract and the blood vessel distribution measurement state, performing constraint evaluation on the disease grade of the ulcerative colitis. According to the invention, the disease degree of ulcerative colitis can be subjected to constrained evaluation based on three dimensions.

The utility model discloses a portable rectal cancer enteroscopy auxiliary device, which belongs to the field of medical instruments and comprises a back supporting plate, two connecting rods are rotatably connected to one side of the back supporting plate, a reinforcing rod is fixedly connected between the two connecting rods, two ends of the reinforcing rod are rotatably connected with supporting rods, and the supporting rods are fixedly connected with the back supporting plate. According to the auxiliary device, in non-painless enteroscopy, a patient is prone to moving due to intestinal tract stimulation and discomfort, examination is disturbed, and pain is aggravated, when the auxiliary device is used, the patient places the thigh supporting plate below the thigh, the soft anti-skid face of the thigh supporting plate is attached to the leg, then the back leans against the back supporting plate, and the thigh supporting plate is fixed to the back supporting plate. The length of the first magic tape and the second magic tape is adjusted according to the stature, the body and the thighs are fixed by means of viscidity, safety is guaranteed, shaking is prevented, finally, a medical worker pushes a limiting block to be clamped into a limiting hole, the posture is locked, the patient is prevented from greatly moving due to discomfort, and it is ensured that examination is conducted smoothly.

The application discloses a marker group for intestinal cancer screening and diagnosis and application thereof, and belongs to the field of molecular biological technology. The marker group comprises at least four polypeptides shown in sequences SEQ ID NO. 1-35. The marker group constructed by the application has more excellent sensitivity and specificity when used for auxiliary diagnosis and early screening of intestinal cancer. The selected discrimination peak set (marker group) is superior to the FIT home screening kit (sensitivity and specificity are 73.8% and 94.9% respectively) recommended for NHS (the British National Health Service) at present, the detection kit based on lncRNA (sensitivity and specificity are 82.9% and 72.9% respectively), and the CT colonoscopy technology (sensitivity and specificity are 84% and 85% respectively).

This invention discloses a forward traction-assisted colonoscopy advancement robot, comprising a colonoscopy body, which includes an endoscope tip, an endoscope bend, and an endoscope insertion part connected in sequence. It also includes: a continuous external sheath system sleeved on the outside of the endoscope bend; a traction drive system for traction of the continuous external sheath system forward; and a colonoscopy fixation system for fixing or releasing the endoscope insertion part. The continuous external sheath system includes a slider pair and a continuous external sheath. The slider pair includes an inner slider and an outer slider that slide against each other. The inner slider is fixedly connected to the endoscope tip; the outer slider is fixedly connected to the front end of the continuous external sheath; and the inner and outer sliders slide relative to each other under the drive of the traction drive system. This invention achieves a forward-driven endoscope advancement method, solving the problem of endoscope knotting in existing colonoscopy advancement methods and reducing pain for the patient during examination.

1. Name of the product in this design: Integrated Light Source Heat Dissipation Unit (Coronoscopy Examination). 2. Purpose of this design: Equipment for medical light source therapy. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the field of medical instrument teaching and training, in particular to a simulated enteroscopy and operation control method and system, which are used for generating a virtual image about an enteroscopy in a simulated intestinal tract and providing real-time visual feedback when a user operates the enteroscopy to examine the simulated intestinal tract; predicting the movement trend of the enteroscope according to the operation characteristics of the user on the enteroscope, and providing an enteroscope operation prompt; and according to the air pressure adjustment operation parameters of the simulated intestinal tract, predicting the air pressure change trend in the simulated intestinal tract, and providing an air pressure adjustment operation early warning prompt. According to the method, visual image navigation guidance can be provided for the user in real time in the simulated enteroscopy training period, prompting can be accurately carried out according to the actual operation condition of the user, the user can obtain all-around information interaction in the training period, it is ensured that the user obtains accurate and timely reminding feedback in the simulated training period, and the training effectiveness is improved.

The utility model discloses an elastic rope ligation device used under an enteroscope, and belongs to the technical field of medical instruments. A negative pressure adsorption mechanism; a movement driving mechanism; a tensioning drive mechanism; a control mechanism; the control mechanism is divided into two parts, one part is handheld, the other part is connected to the enteroscope in a sleeved mode, the two parts of the control mechanism are controlled wirelessly, and compared with the prior art, due to the fact that the operation of connecting a stay wire is omitted, the comfort of a patient in the using process is improved.

A method for detecting colonoscopy lesions based on texture perception and fine-grained feature compensation is proposed. The acquired colonoscopy images are input into a backbone network to extract multi-level features. Texture features are mined from feature C2 and compared with feature C... m Semantic feature integration in C m Background information is suppressed, fine-grained texture features are captured and enhanced; features C3 to C m Each feature is convolved separately, and then fused with the enhanced features to obtain m-2 fused features; feature C is then... m Features are obtained through attention mechanisms and spatial pyramid pooling; the obtained features are fused in a multi-scale manner from top to bottom and from bottom to top, and a pyramid-decomposable attention module is introduced in at least one of the fusion processes to balance the channel information in the skip links and capture the interaction between channels. Based on the multi-scale fusion results, high-precision target detection is achieved.

The invention provides an auxiliary abdomen pressing device for enteroscopy, and belongs to the technical field of medical instruments, the auxiliary abdomen pressing device comprises two groups of symmetrically arranged arch-shaped frames, a cross arm is arranged between the two groups of arch-shaped frames, clamping pieces used for being fixed with a bed body are arranged at the bottoms of the arch-shaped frames, a cross rod is slidably arranged between the two groups of arch-shaped frames, and the outer side of the cross rod is sleeved with a sliding block; a bottom plate is arranged at the bottom of one side of the sliding block, a fixing cylinder is arranged in the middle of the bottom plate, a pressing rod is movably sleeved with the fixing cylinder, a pressing disc is arranged at the bottom of the pressing rod, and an angle adjusting assembly is arranged on the sliding block and used for adjusting the inclination angle of the bottom plate; a supporting plate is arranged on one side of the bottom plate, a twisting plate is hinged to the top of the supporting plate, and a push rod is arranged at one end of the twisting plate. The clamping piece at the bottom of the arch-shaped frame is fixed to the bed body, compared with a traditional wearable structure, the risk that the abdomen of a patient rolls and moves is effectively avoided, it is ensured that the device is stable and does not deviate in the pressing process, and reliable guarantee is provided for accurate pressure applying.

The utility model relates to enteroscope training model technical field, specifically for a kind of simulation enteroscope training simulation structure, including hollow outer frame, lower digestive tract model is provided with in outer frame by fixed structure;Lower digestive tract model includes successively connected large intestine model and small intestine model, the end of large intestine model is connected with outer frame by simulation anus;The lower digestive tract model of the utility model is made based on real human CT scanning data reconstruction model, and cooperate with the fixed structure of real human pelvic bone and ligament tissue composition, can highly simulate human lower digestive tract structure and enteroscope operating feeling;By being connected with external power supply, the utility model can realize the conductive function when endoscopic operating instrument, complete operation such as electrocision;The utility model can also set up training module inside lower digestive tract model, to simulate different diseases, greatly expand training range, can be applicable to the demand of different levels of physicians for different kinds of enteroscope training simulation.

The utility model belongs to the technical field of medical care clothes, and particularly relates to a disposable special pantskirt for enteroscopy. The pantskirt comprises a skirt body located on the outer side and a trouser body located in the skirt body. Front openings extending longitudinally are formed in the left side and the right side of the front face of the skirt body respectively, the skirt body is divided into a front skirt piece and a rear skirt piece through the two front openings, the rear skirt piece comprises a rear side area located on the back face and front side areas located on the left side and the right side of the front face, and the two front side areas of the front skirt piece and the rear skirt piece form the front face of the skirt body. The rear side area of the rear skirt piece forms the back face of the skirt body. A longitudinally-extending rear opening is formed in the hip center line of the back face of the pants body and completely covered with the rear skirt piece. The front openings extending longitudinally are formed in the left side and the right side of the front face of the skirt body, and the rear opening extending longitudinally is formed in the back face of the pants body, so that operation of a doctor is facilitated when the doctor examines a patient, and privacy parts of the patient can be effectively protected when the patient wears the skirt pants to walk.

The present invention belongs to the technical field of medical equipment, and specifically relates to a colonoscopy assisting device, comprising a base, a first strap fixed to one side of the base, and a second strap fixed to the other side of the base; a conical tube provided on the base, the conical tube and the base being connected; a water collection bag provided on the side of the base facing away from the conical tube, the conical tube being connected to the interior of the water collection bag; a through hole provided on the base, a cavity provided at one end of the base away from the conical tube, the conical tube and the through hole being connected to the cavity respectively; elastic retractable bodies provided on both sides of the base; a first strap and a second strap located at the end of the base close to the conical tube, a first fixing strap and a second fixing strap provided at the end of the base away from the conical tube, one end of the first fixing strap and one end of the second fixing strap both being connected to the base, one end of the first fixing strap and one end of the second fixing strap both being provided with a blocking portion; and a stopper provided at the end of the base away from the conical tube. The colonoscopy assisting device prevents fecal water from instantly accumulating at the opening of the water collection bag and being sprayed out along the through hole.

The present application belongs to the technical field of medical data processing, and discloses a rectal cancer neoadjuvant therapy efficacy prediction method and system based on multi-modal knowledge decomposition. The present application provides a multi-modal data fusion algorithm based on multi-modal knowledge decomposition, which decomposes multi-modal data into multiple independent modal knowledge, reduces redundant information, and does not lose important inter-modal complementary information. The present application simultaneously uses unsupervised clustering and supervised CNN algorithm. Compared with the traditional method of only using unsupervised random selection or image selection method based on information entropy, the present application can reduce the interference of noise data on picture screening, so as to select representative colonoscopy pictures and CT pictures.

This invention provides an artificial intelligence-based method and system for assessing the integrity of colonoscopy observation. The method includes: dividing a sequence of colonoscopy withdrawal video frames into pixel blocks; extracting multi-scale features from each pixel block of the image frame to obtain local texture, global structure, and global context semantic feature maps; stacking semantic feature maps of the same scale in the temporal dimension of the video frame sequence, and extracting spatial and temporal features from the stacked features at each scale; multiplying the spatial and temporal features at each scale sequentially with the corresponding semantic feature maps to obtain enhanced feature maps; upsampling the enhanced feature maps of the global context semantic feature map and the global structure semantic feature map, and adding them to the enhanced feature map of the local texture semantic feature map; inputting the fused feature map into a multi-task head to output the clear mucosal region mask, the wrinkled region mask, the clarity classification result, and the intestinal segment location recognition result of the image frame; and quantifying and scoring the integrity of colonoscopy observation based on the above recognition results.

The application discloses an intestinal polypus identification method based on images and multi-modal data, comprising the following steps: acquiring a plurality of microscope pathological images, objective magnification information corresponding to the pathological images, and text information corresponding to the colonoscopy; performing data preprocessing on each frame of acquired pathological images and text information to obtain a training data set; constructing a multi-scale multi-modal feature classification network, training the network using the training data set, and obtaining a trained multi-scale multi-modal feature fusion classification network; collecting microscope pathological images of a patient, acquiring corresponding colonoscopy text information, inputting the data after data preprocessing into the multi-scale multi-modal feature fusion classification network, and obtaining a class prediction of the disease by the model. The application fully fuses pathological images and colonoscopy text information, finally realizes accurate classification and prediction of the disease type, improves the effect and efficiency of multi-modal diagnosis of intestinal diseases, and thus improves the accuracy of diagnosis of the patient.

The application provides a memory bank-based intestinal tract video target detection method and system, and belongs to the technical field of computer vision.The system comprises a memory storage module, which is used for performing feature enhancement on a current image frame by using a memory frame in a memory bank in a target detection stage of the current image frame; a memory updating module, which is used for performing feature similarity and importance analysis on image features of the current image frame and image features of the memory frame in the memory bank, and deciding whether to update the memory bank according to an analysis result; and an optical flow memory auxiliary module, which is used for generating an attention feature map by using an optical flow method to track changes of optical flow key points in a video sequence, and performing image enhancement on the current image frame.The application fully explores time sequence information of a colonoscopy video, enhances main target features of the colonoscopy by using continuity of optical flow, eliminates possible interference in the colonoscopy video, realizes feature enhancement, and improves detection precision.