Pathological slice processing method, computer equipment and storage medium

Abstract

The present application relates to a pathological slice processing method, computer equipment and storage medium. The method includes: image acquisition of pathological slices according to acquisition parameters to obtain a plurality of corresponding digitized images; naming the digitized images according to the acquisition sequence; determining the position of the digitized image according to the name of the digitized image; The digitized images are stitched to obtain the corresponding pathological slice images; the pathological slice images are classified by using a preset neural network to obtain the classification result; the neural network is obtained by pre-training according to the pathological slice images of the marked pathological tissue. Using this method can improve work efficiency.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, system, computer device and storage medium for auxiliary analysis of pathological images. Background technique [0002] With the advent of the era of Industry 4.0, mechanical automation in all walks of life is advancing rapidly, and the same is true in the field of medical imaging. Microscope images, as the gold standard in the field of medical imaging, have always been the direction of research and development in the medical industry. However, in the existing pathological section reading method, the user usually places the stained pathological section on the stage of the microscope, and then searches and observes the pathological section by replacing the objective lens with different magnifications to give the result. For example, it is first necessary to use a 10x objective to lock the tissue area, secondly to use a 20x objective to find the region o...

AI Technical Summary

Problems solved by technology

For example, firstly, a 10x objective lens needs to be used to lock the tissue area, followed by a 20x objective lens to find the region of interest from the tissue area, and finally a 40x objective lens is used to observe the detailed features of cell morphology in the region of interest, etc., resulting in Reading takes too long

Moreover, in order to prevent reading errors, multiple users are usually required to read a pathological slide until a unified result position is obtained, which doubles the reading time and reduces work efficiency

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