Breast mass classification method based on convolutional neural networks-Reference-Cited by-同舟云学术

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Breast mass classification method based on convolutional neural networks

Published:2020-07 Issue:13 Volume:2020 Page:630-634
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Sun Lilei¹²,Wang Junqian³,Xu Yong¹

Affiliation:

1. Guizhou Provincial Key Laboratory of Public Big Data, Guizhou UniversityGuiyangPeople's Republic of China

2. College of Computer Science & Technology, Guizhou UniversityGuiyangPeople's Republic of China

3. Bio‐Computing Research Centre, Harbin Institute of TechnologyShenzhenPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.1136

Reference22 articles.

1. Global cancer statistics, 2012;Torre L.A.;CA‐Cancer J. Clin.,2015

2. Symbolic representation and classification of medical X‐ray images;Rajaei A.;Signal Image Video Process.,2015

3. AlhadidiM.R. AlarabeyyatA. AlhanahnahM.et al.: ‘Breast cancer detection using K‐nearest neighbor machine learning algorithm’.Int. Conf. on developments in e‐systems engineering Liverpool UK Aug 2016 pp.35–39

4. A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation;Eltoukhy M.M.;Comput. Biol. Med.,2012

5. Robust sparse linear discriminant analysis;Wen J.;IEEE Trans. Circuits Syst. Video Technol.,2018

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1. Hybrid computer aided diagnostic system designs for screen film mammograms using DL‐based feature extraction and ML‐based classifiers;Expert Systems;2023-05-03

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