17 results about "Cervical lesion" patented technology

The invention relates to the technical field of medical image processing, in particular to a gynecological endoscope image intelligent analysis and cervical lesion precise diagnosis system. Comprising an image enhancement module, a differential geometric feature extraction module, a topology preserving manifold learning module, a curvature-blood vessel correlation analysis module, a biopsy point accurate positioning module, a real-time intelligent auxiliary diagnosis module, a clinical feedback module and a self-adaptive optimization module. Micro morphological change features are extracted through multi-scale curvature analysis; a topology sensitive encoder and a manifold alignment decoder are adopted, and a key topology structure is kept; establishing a correlation model of the tissue surface curvature change and the blood vessel morphology, and analyzing differential morphological characteristics; determining an optimal biopsy position based on the comprehensive characteristics; according to the method, the diagnosis result and basis are generated, visual display is provided, the detection rate of cervical lesions, especially early minimal lesions, is remarkably increased, the missed diagnosis rate is reduced, and multi-point biopsy is reduced.

A cervix uteri cell image enhancement method based on a generative adversarial network comprises the following steps: carrying out statistical analysis on a cervix uteri cell image data set, and confirming that a high category imbalance problem exists; according to morphological characteristics and clinical importance of cells of different lesion categories, designing differentiated enhancement strategies and target quantities; for extremely scarce high-risk categories, a StyleGAN2-ADA model constrained by medical knowledge is adopted for generation, and for other categories, a traditional enhancement method combining CLAHE, elastic deformation and the like is adopted; and performing quality control through Masked-SSIM and Med-FID medical image evaluation indexes and pathology expert auditing to obtain a high-quality enhanced image. According to the method, the problem of class imbalance in cervical cell image data is effectively solved, the recognition performance of a deep learning model on high-risk cervical lesions is remarkably improved, and the method has important clinical auxiliary diagnosis value.

The application discloses a colposcope cervical lesion segmentation method, system, device and medium based on an aceto-white attention map, and the method comprises the following steps: acquiring a training data set and a test data set; a cervical lesion segmentation model based on a full convolutional neural network, the model comprising two inputs of an aceto-stained colposcope image and an aceto-white attention map; iteratively training the cervical lesion segmentation model based on the training data set; evaluating the cervical lesion segmentation model after training by using the test data set, and the cervical lesion segmentation model meeting the performance requirement can be used for subsequent colposcope cervical lesion area prediction. The application constructs an aceto-white attention map through a pre-aceto-stained colposcope image and a post-aceto-stained colposcope image, and filters interference information such as background in a convolutional coding block output feature map through a spatial attention mode, so that the precision of the full convolutional neural network segmentation model in the colposcope cervical lesion area segmentation task is effectively improved.

1. The name of the design product: graphical user interface of cervical image analysis system for electronic device. 2. The use of the design product: for electronic device. 3. The design points of the design product: the graphical user interface displayed on the electronic device. 4. The picture or photo that best shows the design points: front view. 5. The rear view, left view, right view, top view, and bottom view do not contain design points, and the rear view, left view, right view, top view, and bottom view are omitted. 6. The use of the graphical user interface: the graphical user interface is applied to the cervical image analysis system of the electronic device, mainly used to realize the loading, viewing, and intelligent analysis result presentation of cervical images, and assist medical personnel to quickly and accurately perform cervical lesion screening and diagnosis. 7. The human-computer interaction mode of the graphical user interface: the front view is the main interface of the cervical image analysis system by default, and its use is referred to the use state reference figure 1; the "unanalyzed" button on the main view interface is clicked to enter the change state figure 1, and its use is referred to the use state reference figure 2; the "confirm" button on the change state figure 1 interface is clicked to enter the change state figure 2, and its use is referred to the use state reference figure 3. 8. Other circumstances that need to be explained: the "X" in each view represents variable text and / or numbers, and the gray blocks in each view are content pictures or variable content.

This invention belongs to the field of medical image processing technology and discloses an automatic annotation method and system for cervical lesion areas in colposcopy. The method includes: converting the cervical RGB image to the CIELAB color space to construct an acetic acid sensitivity index map to enhance color difference contrast; inputting the sensitivity index map and the original image into a dual-stream encoding and decoding segmentation network to accurately segment the conversion area; extracting three complementary features within the conversion area: acetic acid reaction features, vascular morphology features, and iodine staining spatial features; outputting four probabilities (normal, CIN1, CIN2, and CIN3) by a multi-branch hierarchical classifier and adjusting the segmentation threshold accordingly; and marking each level of area with different colored contours and indicating the biopsy location with arrows.

1. The name of the design product: inherent fluorescence early cervical lesion diagnostic instrument. 2. The use of the design product: early cervical lesion diagnosis. 3. The design points of the design product: the combination of shape and color. 4. The picture or photo that best indicates the design points: perspective view. 5. The design claimed contains color.

The invention discloses a marker and a probe composition for early diagnosis of high-grade cervical lesions and cervical cancer and application of the marker and the probe composition. The marker is a PDE4B gene. According to the present invention, with the application of the marker, the methylation state of the gene can be sensitively and specifically detected so as to be used for the detection of the cervical exfoliated cell DNA, and the composition is used for the screening of the asymptomatic population in the non-invasive manner so as to reduce the harm caused by the invasive detection; the composition has higher sensitivity and accuracy, and can realize real-time monitoring.

This invention discloses a method and apparatus for cervical lesion decision-making based on heterogeneous skill invocation and reinforcement learning. Its core lies in constructing a meta-controller driven by reinforcement learning and a decoupled heterogeneous intelligent agent skill library. The skill library encapsulates feature extraction and clinical logic into independent skills such as multi-instance learning visual perception, retrieval enhancement guide alignment, and safety backoff. The meta-controller models clinical reasoning as a Markov decision process, dynamically outputting skill scheduling instructions based on the slot state of the evidence graph and the model's cognitive uncertainty. This invention employs an action masking mechanism and a joint reward function including pathological consistency, multi-instance frame selection concentration, and invocation cost penalties to optimize the meta-controller's offline strategy, and introduces behavioral cloning constraints to inhibit out-of-distribution exploration. Finally, it synchronously outputs disease risk prediction and a traceable clinical evidence chain composed of structured skill invocation trajectories, achieving highly transparent and secure medical assistance decision-making.

This invention discloses a portable colposcope device for cervical lesion screening, belonging to the field of medical device technology. It includes a multi-axis support assembly, a colposcope assembly, a support assembly, and a mobile PC platform. The multi-axis support assembly achieves precise positioning of the colposcope assembly throughout space through five-axis coordination. The support assembly achieves stable fixation through a combination of mechanical limiting and vacuum adsorption. The colposcope assembly is equipped with an electric telescopic rod for fine-tuning the focus. The mobile PC platform features a centralized control device and uses an AI analysis module combined with a case database to assist in diagnosis. This device features a modular design for easy assembly and disassembly, good portability, simple operation, and high diagnostic efficiency and accuracy, making it suitable for various scenarios such as primary healthcare and portable screening.

The application relates to an image language fusion prediction learning method for cervical cytology unbalanced data, and relates to the technical field of computers. The method comprises the following steps: acquiring a cervical cytology whole slice image, and cutting the cervical cytology whole slice image into a plurality of patch images; detecting the plurality of patch images to screen a plurality of suspicious positive cell images from the plurality of patch images; acquiring clinical text corresponding to the cervical cytology whole slice image; extracting a plurality of second image features related to the clinical text from first image features of the plurality of suspicious positive cell images; fusing the plurality of second image features and text features of the clinical text to obtain image language fusion features, and predicting a cervical lesion category to which the cervical cytology whole slice image belongs based on the image language fusion features. The method can improve the prediction accuracy of the cervical lesion category.

The application discloses a cervical cell detection method based on multi-scale space information and relates to the technical field of medical images. The application combines the advantages of high speed and high precision of Sparse R-CNN, the extraction ability of a multi-scale space information extraction branch and a channel attention module for space features and channel features, and better detection performance is obtained, so that the problem of insufficient detection precision of existing cervical lesion cells is solved.

The invention discloses a cervical lesion auxiliary diagnosis method, device and equipment and a storage medium. The method comprises the following steps of physical perception data preprocessing, heterogeneous double-flow feature coding, evidence uncertainty quantification, uncertainty gating fusion, boundary perception decoding and reconstruction and intelligent diagnosis result output. According to the cervical lesion auxiliary diagnosis system, the leading edge evidence theory, the heterogeneous neural network architecture and the advanced geometric constraint loss are fused, substantive theoretical innovation is achieved on the algorithm level, the safety of clinical diagnosis can be remarkably improved, and the tiny focus detection rate is increased.

The invention discloses a cervical lesion cast-off cell or mass detection method based on a YOLOv10 network model, and relates to the technical field of artificial intelligence and medical image processing. According to the method, the detection capability of multi-scale targets is enhanced, the features of cells of different sizes can be captured at the same time through a simplified global pooling information extraction module, and the recognition robustness of pathological cells of different shapes and sizes is remarkably improved; through a multi-scale space attention module guided by a channel, key features are dynamically enhanced, background interference is inhibited, the features of overlapped cells are effectively'decoupled ', and the missing detection rate and the false detection rate in a dense area are remarkably reduced; core modules of the model all adopt lightweight design, the detection performance is improved on the premise that the calculation cost and the parameter quantity are not remarkably increased, and the method is suitable for clinical screening scenes needing high-throughput processing and has clinical popularization potential.

The invention relates to the technical field of medical sampling, and discloses a sampling device for gynaecology and obstetrics, which comprises a suction tube, a piston is slidably arranged in the suction tube, the top of the piston is connected with a piston rod, the piston rod penetrates out of the top of the suction tube, a suction handle is fixed at the free end of the piston rod, the bottom of the suction tube is communicated with a suction tube, and a sleeve is sleeved outside the suction tube. The inner wall of the top of the sleeve is slidably connected with the suction cylinder, a vertical sample suction channel is arranged at the bottom of the sleeve, the bottom end of the suction pipe is slidably connected into the sample suction channel, a sample outlet handle is arranged at the top of the sleeve, and cutters are horizontally slidably arranged at the positions, on the two sides of a port of the sample suction channel, of the bottom of the sleeve and connected with a driving assembly. According to the invention, the problem that the sample is easy to pollute and drop in the existing sampling mode of vulva lesions and cervical lesions can be solved.

The invention discloses an HPV therapeutic apparatus for cervical lesions, and relates to the technical field of medical instruments, the HPV therapeutic apparatus comprises a therapeutic apparatus body, and an anti-HPV gel storage tank for storing anti-HPV gel is fixedly mounted on the therapeutic apparatus body; the therapeutic apparatus body and the anti-HPV gel storage tank are connected with an injection connector used for injecting anti-HPV gel into a cervix area through an image wire, a heating wire and a gel conveying hose respectively, the injection connector comprises an injection module, and the injection module is sleeved with a protection module used for protecting the injection module. During use, body fluid of a patient can be effectively isolated through the closed matching of the gluing elbow and the dustproof groove of the elbow of the protective sleeve in the pretreatment stage of the injection joint and the sealing effect of the water retaining ring between the glue injection sleeve and the protective sleeve, and the patient can be prevented from falling off. The injection part is prevented from being polluted and the medicine outlet is prevented from being blocked.

The invention relates to the technical field of virus infection treatment, in particular to a traditional Chinese medicine preparation for treating cervical high-risk HPV persistent infection and application of the traditional Chinese medicine preparation. The traditional Chinese medicine composition comprises the following components in parts by weight: 6-30 parts of radix aconiti carmichaeli (black prepared common monkshood daughter root) (decocted first), 3-15 parts of ginseng, 9-60 parts of polyporus umbellatus, 6-30 parts of fructus cnidii, 6-30 parts of fried semen brassicae, 6-30 parts of notopterygium root, 6-24 parts of radix bupleuri, 6-30 parts of fried green tangerine peel, 6-30 parts of motherwort and 6-30 parts of angelica sinensis. According to the constitution and syndrome differentiation of high-risk human papilloma virus (HR-HPV) persistent infection patients, a traditional Chinese medicine prescription is prepared on the basis of the traditional Chinese medicine yang-warming, cold-dispelling and dampness-eliminating theory, the yang-warming, cold-dispelling and dampness-eliminating treatment prescription is used for treating the persistent HPV infection and mild cervical lesion patients, and the traditional Chinese medicine composition can be used for treating the persistent HPV infection and mild cervical lesion patients on the basis of improving the internal environment of the body of the patient and boosting the healthy qi (autoimmunity). Therefore, evil (pathogenic microorganisms) are driven out.

The present application relates to the technical field of medical image processing, in particular to a gynecological endoscope image intelligent analysis and cervical lesion accurate diagnosis system, comprising an image enhancement module, a differential geometry feature extraction module, a topological preserving manifold learning module, a curvature-vascular correlation analysis module, a biopsy point accurate positioning module, a real-time intelligent auxiliary diagnosis module, a clinical feedback module and a self-adaptive optimization module, the system models the cervical endoscope image surface as a Riemann manifold, extracts the micro morphological change features through multi-scale curvature analysis, adopts a topological sensitive encoder and a manifold alignment decoder to maintain the key topological structure, establishes a correlation model of the tissue surface curvature change and the vascular morphology, analyzes the differential morphological features, determines the optimal biopsy position based on the comprehensive features, generates the diagnosis results and basis, provides visual display, and significantly improves the detection rate of cervical lesions, especially early micro lesions, reduces the missed diagnosis rate and reduces the multiple point biopsy.