Deep learning classification of lung cancer histology using CT images.

Chaunzwa, Tafadzwa L; Hosny, Ahmed; Xu, Yiwen; Shafer, Andrea; Diao, Nancy; Lanuti, Michael; Christiani, David C; Mak, Raymond H; Aerts, Hugo J W L

Chaunzwa, Tafadzwa L; Hosny, Ahmed; Xu, Yiwen; Shafer, Andrea; Diao, Nancy; Lanuti, Michael; Christiani, David C; Mak, Raymond H; Aerts, Hugo J W L.

Affiliation

Chaunzwa TL; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA. tafadzwa_chaunzwa@dfci.harvard.edu.
Hosny A; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA. tafadzwa_chaunzwa@dfci.harvard.edu.
Xu Y; Howard Hughes Medical Institute, Chevy Chase, MD, USA. tafadzwa_chaunzwa@dfci.harvard.edu.
Shafer A; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Diao N; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA.
Lanuti M; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Christiani DC; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA.
Mak RH; Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Aerts HJWL; Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Sci Rep ; 11(1): 5471, 2021 03 09.

Article in En | MEDLINE | ID: mdl-33727623

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Carcinoma, Non-Small-Cell Lung / Deep Learning / Lung / Lung Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Estados Unidos

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