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Method and system for identifying target region of digital pathology slide, device, and medium

Grant US12579828B2 Kind: B2 Mar 17, 2026

Assignee

GUANGZHOU KINGMED CENTER FOR CLINICAL LABORATORY

Inventors

Shuanlong Che, Tingsong Yu, Si Liu, Fang Lu, Kangpei Tao, Xin Li, Pifu Luo, Yinghua Li, Weisong Qiu

Abstract

A method for identifying a target region of a digital pathology slide, including: obtaining a scanned image of a pathology slide; inputting the scanned image of the pathology slide into a preset deep learning-based identification model; extracting a contour feature of the scanned image of the pathology slide by using an image contour feature extraction submodel, to obtain a contour image; segmenting the contour image by using an image segmentation submodel to obtain a plurality of sub-contour images; separately performing classification and identification on the plurality of sub-contour images by using an image classification submodel, to obtain a region category corresponding to each sub-contour image; and determining a target region image based on the region category of each sub-contour image. In addition, a system for identifying a target region of a digital pathology slide, a device, and a medium are further proposed.

CPC Classifications

G06V 20/695 G06V 20/698 G06V 30/1444 G06V 2201/03 G06V 10/82 G06V 10/25 G06V 10/44 G16H 70/60 G06F 18/214 G06T 7/0012 G06T 7/11 G06T 7/62

Filing Date

2020-12-21

Application No.

18280270

Claims

20