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A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.
Calabrese, Evan; Villanueva-Meyer, Javier E; Cha, Soonmee.
Afiliação
  • Calabrese E; Department of Radiology and Biomedical Imaging, University of California At San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA, 94143-0628, USA. evan.calabrese@ucsf.edu.
  • Villanueva-Meyer JE; Department of Radiology and Biomedical Imaging, University of California At San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA, 94143-0628, USA.
  • Cha S; Department of Radiology and Biomedical Imaging, University of California At San Francisco, 350 Parnassus Ave, Suite 307H, San Francisco, CA, 94143-0628, USA.
Sci Rep ; 10(1): 11852, 2020 07 16.
Article em En | MEDLINE | ID: mdl-32678261

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Inteligência Artificial / Glioblastoma / Inibidor p16 de Quinase Dependente de Ciclina / Proteína Nuclear Ligada ao X / Isocitrato Desidrogenase / Aneuploidia Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Inteligência Artificial / Glioblastoma / Inibidor p16 de Quinase Dependente de Ciclina / Proteína Nuclear Ligada ao X / Isocitrato Desidrogenase / Aneuploidia Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article