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CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma.
Santiago, Raoul; Ortiz Jimenez, Johanna; Forghani, Reza; Muthukrishnan, Nikesh; Del Corpo, Olivier; Karthigesu, Shairabi; Haider, Muhammad Yahya; Reinhold, Caroline; Assouline, Sarit.
Afiliação
  • Santiago R; Jewish General Hospital - McGill University, Canada; Segal Cancer Centre and Lady Davis Institute for Medical Research, Canada.
  • Ortiz Jimenez J; Jewish General Hospital - McGill University, Canada.
  • Forghani R; Segal Cancer Centre and Lady Davis Institute for Medical Research, Canada; Augmented Intelligence & Precision Health Laboratory (AIPHL) of the Department of Radiology and the Research Institute of McGill University Health Centre, Canada; Gerald Bronfman Department of Oncology, Canada; McGill Uni
  • Muthukrishnan N; Segal Cancer Centre and Lady Davis Institute for Medical Research, Canada; Augmented Intelligence & Precision Health Laboratory (AIPHL) of the Department of Radiology and the Research Institute of McGill University Health Centre, Canada.
  • Del Corpo O; McGill University, Canada.
  • Karthigesu S; McGill University, Canada.
  • Haider MY; McGill University, Canada.
  • Reinhold C; Augmented Intelligence & Precision Health Laboratory (AIPHL) of the Department of Radiology and the Research Institute of McGill University Health Centre, Canada; McGill University, Canada.
  • Assouline S; Jewish General Hospital - McGill University, Canada; Segal Cancer Centre and Lady Davis Institute for Medical Research, Canada.
Transl Oncol ; 14(10): 101188, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34343854
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá