Pathological section scanning method and system

Abstract

The invention relates to the technical field of medical microscopic imaging, in particular to a pathological section scanning method and system, and the method comprises the steps: S1, obtaining a pathological section, and scanning the pathological section to generate a preview; s2, carrying out image recognition on the preview to obtain a tissue area; and S3, scanning the tissue region part in the pathological section again to output a scanning result. The method has the beneficial effects that accurate identification of the mask region in the tissue is realized by setting the target detection model, the problem that the tissue region of the pathological section image formed by specific dyeing cannot be accurately extracted in the prior art is avoided, and more accurate detection of the pathological section is realized; and thus, a more accurate slice image is generated.

Description

technical field [0001] The invention relates to the technical field of medical microscopic imaging, in particular to a method and system for scanning pathological slices. Background technique [0002] Pathological slide refers to a kind of specimen used in pathological examination. Under normal circumstances, pathological biopsy is to take a lesion tissue of a certain size, make pathological slices with histopathological methods, and then further examine the characteristics of the lesion tissue under optical microscopy to explore the medical principles of the lesion tissue. For example, the diseased tissue is embedded in paraffin block, cut into thin slices with a microtome, and then stained with hematoxylin-eosin (H-E), so that the specific diseased tissue can be clearly imaged under the microscopic image. Pathological slide scanner refers to slice inspection equipment based on digital image technology, which is used to collect and store microscopic images of pathological ...

AI Technical Summary

Problems solved by technology

However, in the actual implementation process, the inventors found that the existing identification methods for tissue, such as background difference, tissue area color features, tissue area shape features, etc., are easily affected by factors such as impurities and changes in lighting conditions. It needs to be updated in time when the blank map changes significantly, and the influence of impurities cannot be avoided

The color of IHC slices is generally light, which is easily affected by impurities and cannot be effectively extracted during image processing and binarization.

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