Invention Grant
- Patent Title: Convolutional neural network based breast image analysis method using four-channel inputs and system therefor
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Application No.: US17277443Application Date: 2019-08-22
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Publication No.: US11922622B2Publication Date: 2024-03-05
- Inventor: Myung Hoon Sunwoo , Ji Hoon Bae
- Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Applicant Address: KR Suwon-si
- Assignee: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Current Assignee: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Current Assignee Address: KR Suwon-si
- Agency: Sughrue Mion, PLLC
- Priority: KR 20180113030 2018.09.20
- International Application: PCT/KR2019/010690 2019.08.22
- International Announcement: WO2020/060046A 2020.03.26
- Date entered country: 2021-03-18
- Main IPC: G16H30/20
- IPC: G16H30/20 ; A61B6/00 ; G06N3/08 ; G06N5/04 ; G06T3/40 ; G06T7/00

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.
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