公开(公告)号：US11922622B2

公开(公告)日：2024-03-05

申请号：US17277443

申请日：2019-08-22

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Myung Hoon Sunwoo ,  Ji Hoon Bae

IPC: G16H30/20 ,  A61B6/00 ,  G06N3/08 ,  G06N5/04 ,  G06T3/40 ,  G06T7/00

CPC classification number: G06T7/0012 ,  A61B6/502 ,  G06N3/08 ,  G06N5/04 ,  G06T3/40 ,  G16H30/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068

Abstract: The present invention relates to a breast image analysis method with four mammogram images which are input to a convolutional neural network as one input and a system therefor and the system includes an image receiving unit which receives four mammogram images; an image size adjusting unit which adjusts a size of a mammogram image received from the image receiving unit; a preprocessing unit which performs preprocessing on the mammogram image adjusted by the image size adjusting unit; a convolutional neural network (CNN)-based CNN learning unit which generates learning information by learning the mammogram image preprocessed by the preprocessing unit; and a CNN inference unit which receives the learning information learned from the CNN learning unit and a mammogram image to be classified from the image receiving unit to diagnose a breast abnormality.