Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients

Open Access

Peer-reviewed

Research Article

About the Authors

Hongyi Dammu

Roles Conceptualization, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Department of Radiology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, United States of America

Thomas Ren

Roles Validation, Writing – review & editing

Affiliation Department of Radiology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, United States of America

Tim Q. Duong

Roles Conceptualization, Data curation, Investigation, Supervision, Validation, Writing – review & editing

Affiliation Department of Radiology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, United States of America

The authors have declared that no competing interests exist.

Magnetic resonance imaging
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Cancer treatment
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Breast cancer
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Deep learning
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Cancer chemotherapy
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Imaging techniques
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Public and occupational health
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Supervised machine learning
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