A method for auxiliary diagnosis of cervical histopathology based on attention mechanism

A technology for histopathology and auxiliary diagnosis, applied in image data processing, image analysis, healthcare informatics, etc., can solve problems such as low efficiency and low accuracy, avoid interference, improve diagnostic efficiency, improve diagnostic efficiency and accuracy rate effect

Active Publication Date: 2022-08-02
WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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Problems solved by technology

[0007] The present invention provides a method for auxiliary diagnosis of cervical histopathology based on the attention mechanism, which solves the problems of low efficiency and low accuracy in the existing automatic classification method of cervical histopathological whole slide images existing in the prior art. Improvements were made on the basis of the method, and an attention mechanism-based auxiliary diagnosis method for cervical tissue pathology was provided, which reduced the workload of pathologists, improved diagnostic efficiency, and provided doctors with objective and accurate diagnostic results.

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  • A method for auxiliary diagnosis of cervical histopathology based on attention mechanism
  • A method for auxiliary diagnosis of cervical histopathology based on attention mechanism
  • A method for auxiliary diagnosis of cervical histopathology based on attention mechanism

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Embodiment 1

[0044] like Figure 1-4 In the invention, an attention mechanism-based auxiliary diagnosis method and test method for cervical histopathology, including S1, reducing the whole slide image of cervical histopathology according to the proportion r, and obtaining a low-resolution image of the whole slide image;

[0045]S2. Use the convolutional neural network model to build the attention module and the classification module respectively, and initialize the parameters of the attention module and the classification module;

[0046] S3. Input the low-resolution image into the attention module, and calculate the attention score of each pixel in the low-resolution image;

[0047] S4. Obtain the corresponding positions of the pixels with higher attention scores in the low-resolution image in the full-slide image, and intercept k blocks of a set size at the corresponding positions;

[0048] S5. Use the small blocks intercepted in S4 as the input to train the classification module, and u...

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Abstract

The invention provides an auxiliary diagnosis method for cervical histopathology based on an attention mechanism, which comprises reducing the whole glass slide image of cervical histopathology according to the proportion r to obtain a low-resolution image; building and initializing an attention module and a classification module; The rate image is input into the attention module, and the attention score is calculated; the position of the pixel with high attention score in the image is obtained, and the set size k blocks are intercepted; the small block is input into the training classification module, and the features of the small block with high score are extracted , get the feature vector, train the support vector machine classifier, input the trained support vector machine classifier, and realize the classification. The diagnostic efficiency and accuracy of the original method were improved. The lesion area in the positive cervical histopathological full-slide image is located to avoid the interference of the negative part in the positive cervical histopathological full-slide image to the classification model. Using attention mechanism to detect suspicious lesions in cervical histopathological whole slide images.

Description

technical field [0001] The invention relates to the field of automatic screening and analysis of pathological images of cervical tissue, in particular to a method for auxiliary diagnosis of cervical tissue pathology based on an attention mechanism. Background technique [0002] Cervical cancer is a common female malignancy. Early detection and early treatment are essential to reduce the cure rate and mortality of cervical cancer. Precancerous lesions of cervical cancer are also known as cervical intraepithelial neoplasia (CIN). In order to assess the severity of cervical precancerous lesions, precancerous lesions are divided into 3 grades (CIN1, CIN2, CIN3). [0003] Cervical histopathological diagnosis is the gold standard for cervical diagnosis and the final step in the diagnosis of cervical cancer. However, histopathological diagnosis relies entirely on the professional knowledge and personal experience of the pathologist for evaluation. This work is time-consuming and l...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H30/20G06T7/136
CPCG16H30/20G06T7/136
Inventor 刘娟庞宝川曹得华肖笛李卓彧
Owner WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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