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An automatic classification method for pathological images based on staining intensity matrix

An intensity matrix and automatic classification technology, applied in the field of medical image processing, can solve the problems of limited processing speed, achieve high diagnostic accuracy, practicality, and avoid errors

Active Publication Date: 2022-01-18
ZHEJIANG LAB
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Problems solved by technology

[0005] In order to solve the technical problem that the accuracy and processing speed of the existing computer-aided diagnosis method based on pathological images are limited by the performance of the color normalization algorithm, the present invention proposes an automatic classification method for pathological images based on the staining intensity matrix

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  • An automatic classification method for pathological images based on staining intensity matrix
  • An automatic classification method for pathological images based on staining intensity matrix
  • An automatic classification method for pathological images based on staining intensity matrix

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Embodiment Construction

[0037] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments, and the contents not described in detail belong to the prior art known to those skilled in the art.

[0038]This embodiment takes the diagnosis and classification of lung adenocarcinoma and lung squamous cell carcinoma as an example. The image block classification network uses ResNet50, and the random forest algorithm is used to synthesize the classification and diagnosis results of each image block. The training data has been marked by professional radiologists. 200 full-section digital pathological images of cancer types and regions, including 100 lung adenocarcinoma and 100 lung squamous cell carcinoma. The diagnosis and classification of lung adenocarcinoma and lung squamous cell carcinoma using the proposed method for automatic classification of pathological images based on staining intensity matrix includes the following steps (such ...

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Abstract

The invention discloses a method for automatically classifying pathological images based on a staining intensity matrix. The method directly extracts the staining intensity matrix irrelevant to the dyeing agent ratio, staining platform, scanning platform and some human factors in the pathological image as the characteristic information of the classification. There is no need to restore the normalized stained image, and while retaining all the impurity-free information related to the diagnosis, it avoids the diagnostic effect of the existing computer-aided diagnosis method for pathological images based on the traditional color normalization method. The phenomenon that the standard pathological slice changes, and avoids the error introduced by the need to restore the stained image, the diagnosis accuracy is higher and the diagnosis effect is more stable, and the diagnosis of the pathological image can be realized in a shorter time , easy to implement and more practical.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an automatic classification method for pathological images based on a staining intensity matrix. Background technique [0002] Histopathological examination is a pathomorphological method for analyzing and diagnosing diseases by examining pathological changes in tissues. It is currently the most accurate method for diagnosing cancer. Whole Slide Image (WSI) is a high-magnification large-scale digital image that can be displayed, transmitted and processed by a computer formed by scanning histopathological sections with a dedicated microscopic imaging system. Although digital pathological slice imaging technology has been promoted and applied in major medical institutions, the current diagnosis and analysis of WSI still requires doctors to make repeated observations under different scales of magnifying glass to obtain the diagnosis results. The diagnosis results de...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/62G16H70/60G06N3/04
CPCG06T7/0012G16H70/60G06N3/045G06F18/241G06F18/214G06T2207/30024G06T2207/20021G06T2207/20081G06T2207/20084G06T2207/10024G06T2207/10056G06T7/194G06T7/11G06T7/90G06T7/0002
Inventor 朱闻韬薛梦凡李少杰杨德富
Owner ZHEJIANG LAB
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