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Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.
Mikhael, Peter G; Wohlwend, Jeremy; Yala, Adam; Karstens, Ludvig; Xiang, Justin; Takigami, Angelo K; Bourgouin, Patrick P; Chan, PuiYee; Mrah, Sofiane; Amayri, Wael; Juan, Yu-Hsiang; Yang, Cheng-Ta; Wan, Yung-Liang; Lin, Gigin; Sequist, Lecia V; Fintelmann, Florian J; Barzilay, Regina.
Afiliação
  • Mikhael PG; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.
  • Wohlwend J; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA.
  • Yala A; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.
  • Karstens L; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA.
  • Xiang J; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.
  • Takigami AK; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA.
  • Bourgouin PP; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.
  • Chan P; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA.
  • Mrah S; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.
  • Amayri W; Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA.
  • Juan YH; Harvard Medical School, Boston, MA.
  • Yang CT; Department of Radiology, Massachusetts General Hospital, Boston, MA.
  • Wan YL; Harvard Medical School, Boston, MA.
  • Lin G; Department of Radiology, Massachusetts General Hospital, Boston, MA.
  • Sequist LV; Department of Medicine, Massachusetts General Hospital, Boston, MA.
  • Fintelmann FJ; Department of Radiology, Massachusetts General Hospital, Boston, MA.
  • Barzilay R; Department of Radiology, Massachusetts General Hospital, Boston, MA.
J Clin Oncol ; 41(12): 2191-2200, 2023 04 20.
Article em En | MEDLINE | ID: mdl-36634294
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Idioma: En Ano de publicação: 2023 Tipo de documento: Article