BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images

Ziyu Su; Muhammad Khalid Khan Niazi; Thomas E. Tavolara; Shuo Niu; Gary H. Tozbikian; Robert Wesolowski; Metin N. Gurcan

doi:10.1371/journal.pone.0283562

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Open Access

Peer-reviewed

Research Article

BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images

Ziyu Su ,

Roles Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: zsu@wakehealth.edu

Affiliation Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America

https://orcid.org/0000-0001-9600-3078

⨯
Muhammad Khalid Khan Niazi,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
⨯
Thomas E. Tavolara,

Roles Formal analysis, Investigation, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
⨯
Shuo Niu,

Affiliation Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
⨯
Gary H. Tozbikian,

Roles Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Pathology, The Ohio State University, Columbus, Ohio, United States of America
⨯
Robert Wesolowski,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Comprehensive Cancer Center, The Ohio State University College of Medicine, Columbus, Ohio, United States of America
⨯
Metin N. Gurcan

Roles Conceptualization, Formal analysis, Investigation, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

Affiliation Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
⨯

BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images

Ziyu Su,
Muhammad Khalid Khan Niazi,
Thomas E. Tavolara,
Shuo Niu,
Gary H. Tozbikian,
Robert Wesolowski,
Metin N. Gurcan

Published: April 4, 2023
https://doi.org/10.1371/journal.pone.0283562

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