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Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer.
Naser, Mohamed A; Wahid, Kareem A; Grossberg, Aaron J; Olson, Brennan; Jain, Rishab; El-Habashy, Dina; Dede, Cem; Salama, Vivian; Abobakr, Moamen; Mohamed, Abdallah S R; He, Renjie; Jaskari, Joel; Sahlsten, Jaakko; Kaski, Kimmo; Fuller, Clifton D.
Afiliação
  • Naser MA; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Wahid KA; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Grossberg AJ; Department of Radiation Medicine, Oregon Health & Science University, Portland, OR, United States.
  • Olson B; Medical Scientist Training Program, Oregon Health & Science University, Portland, OR, United States.
  • Jain R; Department of Radiation Medicine, Oregon Health & Science University, Portland, OR, United States.
  • El-Habashy D; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Dede C; Department of Clinical Oncology, Menoufia University Shibin El Kom, Shibin El Kom, Egypt.
  • Salama V; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Abobakr M; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Mohamed ASR; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • He R; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Jaskari J; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Sahlsten J; Department of Computer Science, Aalto University School of Science, Espoo, Finland.
  • Kaski K; Department of Computer Science, Aalto University School of Science, Espoo, Finland.
  • Fuller CD; Department of Computer Science, Aalto University School of Science, Espoo, Finland.
Front Oncol ; 12: 930432, 2022.
Article em En | MEDLINE | ID: mdl-35965493
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça