A novel deep learning-based approach to high accuracy breast density estimation in digital mammography-Reference-Cited by-同舟云学术

A novel deep learning-based approach to high accuracy breast density estimation in digital mammography

Published:2017-03-03 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Ahn Chul Kyun¹,Heo Changyong¹,Jin Heongmin¹,Kim Jong Hyo¹

Affiliation:

1. Seoul National Univ. (Korea, Republic of)

Publisher

SPIE

Reference21 articles.

1. The risk of breast cancer associated with mammographic parenchymal patterns: a meta-analysis of the published literature to examine the effect of method of classification;Warner,1992

2. Mammographic Density and the Risk and Detection of Breast Cancer

3. Quantitative Assessment of Mammographic Breast Density: Relationship with Breast Cancer Risk

4. Mammographic breast density during hormone replacement therapy: Differences according to treatment

5. Mammographic Breast Density: Impact on Breast Cancer Risk and Implications for Screening

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