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Automatic segmentation of magnetic resonance images for high-dose-rate cervical cancer brachytherapy using deep learning.
Yoganathan, S A; Paul, Siji Nojin; Paloor, Satheesh; Torfeh, Tarraf; Chandramouli, Suparna Halsnad; Hammoud, Rabih; Al-Hammadi, Noora.
Afiliación
  • Yoganathan SA; Department of Radiation Oncology, National Center for Cancer Care & Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
  • Paul SN; Department of Radiation Oncology, National Center for Cancer Care & Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
  • Paloor S; Department of Radiation Oncology, National Center for Cancer Care & Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
  • Torfeh T; Department of Radiation Oncology, National Center for Cancer Care & Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
  • Chandramouli SH; Department of Radiation Oncology, National Center for Cancer Care & Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
  • Hammoud R; Department of Radiation Oncology, National Center for Cancer Care & Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
  • Al-Hammadi N; Department of Radiation Oncology, National Center for Cancer Care & Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
Med Phys ; 49(3): 1571-1584, 2022 Mar.
Article en En | MEDLINE | ID: mdl-35094405
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Braquiterapia / Neoplasias del Cuello Uterino / Aprendizaje Profundo Límite: Female / Humans Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: Qatar
Texto completo
Imprimir
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Braquiterapia / Neoplasias del Cuello Uterino / Aprendizaje Profundo Límite: Female / Humans Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: Qatar