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公开(公告)号:US20240221373A1
公开(公告)日:2024-07-04
申请号:US18288380
申请日:2022-04-20
Applicant: DEEP BIO INC.
Inventor: Jun Young CHOI , Tae Yeong KWAK , Sun Woo KIM
CPC classification number: G06V10/82 , G06T7/0012 , G16H50/20 , G06T2207/30068 , G06T2207/30096 , G06V2201/032
Abstract: A training method for training an artificial neural network capable of determining a breast cancer lesion area in consideration of both microscopic features and macroscopic features of biological tissue, and a computing system for performing same. A method is provided for training an artificial neural network, comprising steps in which: an artificial neural network training system acquires a slide image of a biological tissue slide; the artificial neural network training system acquires, from the slide image, a first high-resolution patch to an Nth high-resolution patch; the artificial neural network training system acquires an ith low-resolution patch corresponding to an ith high-resolution patch (1