DMMR subtype classification method and system based on pathological image

Abstract

The invention provides a dMMR subtype classification method based on a pathological image, and the method comprises the steps: dividing a labeled pathological image, obtaining a plurality of known image blocks, constructing a data set, training a deep learning network through the data set, and obtaining a region-of-interest recognition model; obtaining a target image region of a target pathological image through the region-of-interest recognition model; dividing the target image area into a plurality of target image blocks with the same size, averagely dividing all the target image blocks into a plurality of parts, and carrying out stacking and merging operation on each part of the target image blocks to obtain stacked blocks; and obtaining feature representations of all the stacked blocks, and obtaining a dMMR subtype classification result of the target pathological image according to all the feature representations. The invention further provides a dMMR subtype classification system based on the pathological image and a data processing device used for carrying out dMMR subtype classification on the target pathological image.

Description

Technical field [0001] The present invention relates to medical pathology image processing technology, and particularly relates to an image based on the depth study pathological classification method and system. Background technique [0002] Pathological study of tumor processes, researchers often experience acquired by the living body area suspected tumor, making pathology, and the results obtained by microscopic pathology interpretation, this approach relies heavily accumulated by researchers researchers puncture or surgical ; in addition, some errors in the production process will affect the results of the pathological study. Accordingly, a computer-implemented method for pre-treatment pathological image, by normalizing pathological image and dMMR (DNA mismatch repair defects, different Mismatch Repair) subtype classification, thereby reducing the workload of researchers, while to reduce the subjective and objective factors causing the problem of pathological bias the results....

AI Technical Summary

Problems solved by technology

[0002] In the process of pathological research on tumors, researchers usually obtain the living body of the suspected tumor area through puncture or surgery, make pathological sections, and obtain pathological results through microscope reading. This method relies heavily on the accumulated experience of researchers. ; In addition, some errors in the production process will affect the results of pathological research

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