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Interpretable survival prediction for colorectal cancer using deep learning.
Wulczyn, Ellery; Steiner, David F; Moran, Melissa; Plass, Markus; Reihs, Robert; Tan, Fraser; Flament-Auvigne, Isabelle; Brown, Trissia; Regitnig, Peter; Chen, Po-Hsuan Cameron; Hegde, Narayan; Sadhwani, Apaar; MacDonald, Robert; Ayalew, Benny; Corrado, Greg S; Peng, Lily H; Tse, Daniel; Müller, Heimo; Xu, Zhaoyang; Liu, Yun; Stumpe, Martin C; Zatloukal, Kurt; Mermel, Craig H.
  • Wulczyn E; Google Health, Palo Alto, CA, USA.
  • Steiner DF; Google Health, Palo Alto, CA, USA.
  • Moran M; Google Health, Palo Alto, CA, USA.
  • Plass M; Medical University of Graz, Graz, Austria.
  • Reihs R; Medical University of Graz, Graz, Austria.
  • Tan F; Google Health, Palo Alto, CA, USA.
  • Flament-Auvigne I; Google Health via Advanced Clinical.
  • Brown T; Google Health via Advanced Clinical.
  • Regitnig P; Medical University of Graz, Graz, Austria.
  • Chen PC; Google Health, Palo Alto, CA, USA.
  • Hegde N; Google Health, Palo Alto, CA, USA.
  • Sadhwani A; Google Health, Palo Alto, CA, USA.
  • MacDonald R; Google Health, Palo Alto, CA, USA.
  • Ayalew B; Google Health, Palo Alto, CA, USA.
  • Corrado GS; Google Health, Palo Alto, CA, USA.
  • Peng LH; Google Health, Palo Alto, CA, USA.
  • Tse D; Google Health, Palo Alto, CA, USA.
  • Müller H; Medical University of Graz, Graz, Austria.
  • Xu Z; Google Health, Palo Alto, CA, USA.
  • Liu Y; Google Health, Palo Alto, CA, USA. liuyun@google.com.
  • Stumpe MC; Google Health via Advanced Clinical.
  • Zatloukal K; Google Health, Tempus Labs Inc., Chicago, IL, USA.
  • Mermel CH; Medical University of Graz, Graz, Austria.
NPJ Digit Med ; 4(1): 71, 2021 Apr 19.
Article en En | MEDLINE | ID: mdl-33875798
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article