Convolutional neural network based breast image analysis method using four-channel inputs and system therefor
US11922622B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2019 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Dec 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30068
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.