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A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images.
Amarasinghe, Kaushalya C; Lopes, Jamie; Beraldo, Julian; Kiss, Nicole; Bucknell, Nicholas; Everitt, Sarah; Jackson, Price; Litchfield, Cassandra; Denehy, Linda; Blyth, Benjamin J; Siva, Shankar; MacManus, Michael; Ball, David; Li, Jason; Hardcastle, Nicholas.
Afiliação
  • Amarasinghe KC; Bioinformatics Core Facility, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Lopes J; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
  • Beraldo J; Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Kiss N; Radiation Therapy, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Bucknell N; Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
  • Everitt S; Allied Health Department, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Jackson P; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
  • Litchfield C; Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Denehy L; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
  • Blyth BJ; Radiation Therapy, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Siva S; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
  • MacManus M; Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Ball D; Bioinformatics Core Facility, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Li J; Allied Health Department, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Hardcastle N; Melbourne School of Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Front Oncol ; 11: 580806, 2021.
Article em En | MEDLINE | ID: mdl-34026597
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
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 Idioma: En Ano de publicação: 2021 Tipo de documento: Article