公开(公告)号：US20240153073A1

公开(公告)日：2024-05-09

申请号：US18280662

申请日：2022-03-07

Applicant: DEEP BIO INC.

Inventor： Joon Young CHO ,  Hye yoon CHANG ,  Tae Yeong Kwak ,  Sun woo KIM

IPC: G06T7/00 ,  G16H30/20 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G16H30/20 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30081 ,  G06T2207/30096

Abstract: A method for training an artificial neural network for detecting a prostate cancer from a TURP pathological image, includes: acquires a plurality of acquiring pathological images for primary training, each being a prostate needle biopsy pathological image or a radical prostatectomy pathological image; using the pathological images to primarily train an artificial neural network for determining prostate cancer; acquiring TURP pathological images; and using the TURP pathological images to secondarily train the primarily trained artificial neural network, wherein each TURP pathological image includes a non-prostate tissue region and/or a cauterized prostate tissue region, and does not include any prostate cancer lesion region.