Recognition method and system based on dermatopathology images

A pathological image and recognition method technology, applied in the field of medical image recognition, can solve the problems of low efficiency and low automation level of inflammatory skin characteristic recognition, achieve the effect of high degree of automation technology and improve the efficiency of skin pathological diagnosis and recognition

Inactive Publication Date: 2019-02-22
北京贝叶科技有限公司
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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a recognition method and system based on skin pathological images, which can be applied to pathological images of inflammatory skin diseases with complex pathological features (not directly imple

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  • Recognition method and system based on dermatopathology images
  • Recognition method and system based on dermatopathology images
  • Recognition method and system based on dermatopathology images

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[0049] The implementation of the present invention will be illustrated by specific specific examples below, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

[0050] see figure 1 , figure 2 with image 3 , the present embodiment provides a recognition method based on skin pathology images, comprising the following steps:

[0051] S1: Data preprocessing:

[0052] S101: According to the subtypes included in the subtypes of inflammatory skin diseases, select cases that have been clinically confirmed to belong to the subtypes as corresponding samples;

[0053] S102: Scanning the pathological skin slices with a digital slice scanner, collecting and saving the scanned skin pathological image samples of the pathological skin slices;

[0054] S103: Perform tissue region and pathological feature labeling on the skin pathology image sample to form a tissue region division labe...

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Abstract

The embodiment of the invention discloses a recognition method and system based on dermatopathology images. A multi-task learning deep learning technology is adopted, three tasks of tissue area segment, pathological feature extraction and disease sorting recognition are sequentially completed, three deep learning models of tissue area segment model, pathological feature extraction model and disease sorting recognition model are correspondingly established, systematic modeling is conducted following a clinical structural analysis method of a doctor, and controllable key points and indicators ofartificial intelligent in pathological diagnosis are achieved; the tissue area segment and pathological feature extraction models are characterized in that training and learning are conducted takingpixel as the smallest unit, the scale of the needed sample number is controllable, the restriction of a large number of samples is broken through, the ultimate learning result is used for processing the pathological recognition of various kinds of inflammatory dermatosis, the dermatosis diagnosis and recognition efficiency in China is greatly improved, the automated technology level is high, and alarge amount of labor force and material resource are saved.

Description

technical field [0001] The invention relates to the technical field of medical image recognition, in particular to a recognition method and system based on skin pathology images. Background technique [0002] Skin pathological examination is the “gold standard” for doctors to judge skin characteristics in clinical practice. Eosin (H-E) staining is not directly implemented on living human or animal bodies), and the microscopic observation of skin tissue and cells under a microscope is carried out to confirm the type of disease. At present, the number of patients with inflammatory skin diseases occupies a major part of clinical dermatology in my country, and the number of pathological examinations is increasing year by year. Since inflammatory skin diseases are all infiltrating cells in the lesion tissue are inflammatory cells, which contain a wide variety, including not only the global tissue structure information, but also local differential changes, the pattern is complex ...

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Application Information

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IPC IPC(8): A61B5/00
CPCA61B5/0077A61B5/441A61B5/445
Inventor 张晶李伟平郝伟
Owner 北京贝叶科技有限公司
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