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Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.
Rathore, Saima; Iftikhar, Muhammad A; Chaddad, Ahmad; Singh, Ashish; Gillani, Zeeshan; Abdulkadir, Ahmed.
Afiliação
  • Rathore S; AVID Radiopharmaceuticals, Philadelphia, PA, USA; Eli Lilly and Company, Indianapolis, IN, USA. Electronic address: saima.rathore83@gmail.com.
  • Iftikhar MA; Comsats University Islamabad, Lahore Campus, Lahore, Pakistan.
  • Chaddad A; School of Artificial Intelligence, GUET, Guilin, China.
  • Singh A; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
  • Gillani Z; Comsats University Islamabad, Lahore Campus, Lahore, Pakistan.
  • Abdulkadir A; Center for Research in Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Center for Artificial Intelligence, Zurich University of Applied Sciences, Winterthur, ZH, Switzerland.
Comput Methods Programs Biomed ; 242: 107812, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37757566

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de publicação: Irlanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de publicação: Irlanda