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Open Access

Peer-reviewed

Research Article

Supervised breast cancer prediction using integrated dimensionality reduction convolutional neural network

HuanQing Xu,

Roles Conceptualization, Data curation, Formal analysis, Software, Writing – original draft

Affiliation The School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China
⨯
Xian Shao,

Roles Formal analysis, Investigation, Writing – review & editing

Affiliations NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
⨯
Shiji Hui,

Roles Writing – review & editing

Affiliation School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
⨯
Li Jin

Roles Funding acquisition, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft

* E-mail: jinli19741223@163.com

Affiliation The School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China

https://orcid.org/0000-0002-6212-9315

⨯

Supervised breast cancer prediction using integrated dimensionality reduction convolutional neural network

HuanQing Xu,
Xian Shao,
Shiji Hui,
Li Jin

x

Published: May 5, 2023
https://doi.org/10.1371/journal.pone.0282350

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Breast cancer
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Neural networks
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Artificial neural networks
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Breast tumors
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Machine learning
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Histology
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Imaging techniques
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Machine learning algorithms
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