Invention Application
- 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.: US20220036544A1Publication Date: 2022-02-03
- Inventor: Myung Hoon SUNWOO , Ji Hoon BAE
- Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Applicant Address: KR Suwon-si, Gyeonggi-do
- Assignee: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Current Assignee: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Current Assignee Address: KR Suwon-si, Gyeonggi-do
- Priority: KR10-2018-0113030 20180920
- International Application: PCT/KR2019/010690 WO 20190822
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T3/40 ; A61B6/00 ; G06N5/04 ; G06N3/08 ; G16H30/20

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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