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Artificial Intelligence-based Radiomics in the Era of Immuno-oncology.
Kang, Cyra Y; Duarte, Samantha E; Kim, Hye Sung; Kim, Eugene; Park, Jonghanne; Lee, Alice Daeun; Kim, Yeseul; Kim, Leeseul; Cho, Sukjoo; Oh, Yoojin; Gim, Gahyun; Park, Inae; Lee, Dongyup; Abazeed, Mohamed; Velichko, Yury S; Chae, Young Kwang.
Afiliación
  • Kang CY; Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA.
  • Duarte SE; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Kim HS; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Kim E; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Park J; Janssen Research and Development, LLC, Raritan, NJ, USA.
  • Lee AD; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Kim Y; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Kim L; Department of Internal Medicine, AMITA Health Saint Francis Hospital, Evanston, IL, USA.
  • Cho S; Department of Pediatrics, University of South Florida Morsani College of Medicine, Tampa, FL, USA.
  • Oh Y; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Gim G; Department of Hematology and Oncology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA.
  • Park I; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Lee D; Department of Physical Medicine and Rehabilitation, Geisinger Health System, Danville, PA, USA.
  • Abazeed M; Department of Radiation Oncology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Velichko YS; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Chae YK; Department of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Oncologist ; 27(6): e471-e483, 2022 06 08.
Article en En | MEDLINE | ID: mdl-35348765

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Oncologist Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Oncologist Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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