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Open Access
Peer-reviewed
Research Article
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
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Ahmed Hosny,
Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Chintan Parmar,
Roles Conceptualization, Formal analysis, Methodology, Validation, Writing – review & editing
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Thibaud P. Coroller,
Roles Data curation, Methodology, Validation, Writing – review & editing
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Patrick Grossmann,
Roles Formal analysis, Software, Writing – review & editing
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Roman Zeleznik,
Roles Formal analysis, Software, Writing – review & editing
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Avnish Kumar,
Roles Formal analysis, Software, Writing – review & editing
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Johan Bussink,
Roles Data curation, Writing – review & editing
Affiliation Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
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Robert J. Gillies,
Roles Data curation, Methodology, Writing – review & editing
Affiliation Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America
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Raymond H. Mak,
Roles Data curation, Investigation, Methodology, Project administration, Supervision, Writing – review & editing
Affiliation Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Hugo J. W. L. Aerts
Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing
* E-mail: Hugo_Aerts@dfci.harvard.edu
Affiliations Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
- Ahmed Hosny,
- Chintan Parmar,
- Thibaud P. Coroller,
- Patrick Grossmann,
- Roman Zeleznik,
- Avnish Kumar,
- Johan Bussink,
- Robert J. Gillies,
- Raymond H. Mak,
- Hugo J. W. L. Aerts
- Published: November 30, 2018
- https://doi.org/10.1371/journal.pmed.1002711