Classification of breast mass in two‐view mammograms via deep learning-Reference-Cited by-同舟云学术

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Classification of breast mass in two‐view mammograms via deep learning

Published:2020-12-09 Issue:2 Volume:15 Page:454-467
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Li Hua¹,Niu Jing¹,Li Dengao²³,Zhang Chen¹

Affiliation:

1. College of Information and Computer Taiyuan University of Technology Taiyuan China

2. College of Data Science Taiyuan University of Technology Taiyuan China

3. Shanxi Engineering Technology Research Center for Spatial Information Network Taiyuan China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12035

Reference42 articles.

1. Breast cancer statistics, 2017, racial disparity in mortality by state

2. Cancer statistics, 2020

3. Annual report to the nation on the status of cancer, Part I: National Cancer Statistics;Cronin K.A.;Am. Cancer Soc.,2018

4. Is mass classification in mammograms a solved problem? - A critical review over the last 20 years

5. Large scale deep learning for computer aided detection of mammographic lesions

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