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Framework for Machine Learning of CT and PET Radiomics to Predict Local Failure after Radiotherapy in Locally Advanced Head and Neck Cancers.
Devakumar, Devadhas; Sunny, Goutham; Sasidharan, Balu Krishna; Bowen, Stephen R; Nadaraj, Ambily; Jeyseelan, L; Mathew, Manu; Irodi, Aparna; Isiah, Rajesh; Pavamani, Simon; John, Subhashini; T Thomas, Hannah Mary.
Afiliação
  • Devakumar D; Department of Nuclear Medicine, Christian Medical College, Vellore, Tamil Nadu, India.
  • Sunny G; Department of Radiation Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
  • Sasidharan BK; Department of Radiation Oncology, Baptist Cancer Centre, Bangalore Baptist Hospital, Bengaluru, Karnataka, India.
  • Bowen SR; Department of Radiation Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
  • Nadaraj A; Department of Radiation Oncology, School of Medicine, University of Washington, Seattle, WA 98195, USA.
  • Jeyseelan L; Department of Clinical Epidemiology, Christian Medical College, Vellore, Tamil Nadu, India.
  • Mathew M; Department of Clinical Epidemiology, Christian Medical College, Vellore, Tamil Nadu, India.
  • Irodi A; Department of Radiation Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
  • Isiah R; Department of Radiology, Christian Medical College, Vellore, Tamil Nadu, India.
  • Pavamani S; Department of Radiation Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
  • John S; Department of Radiation Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
  • T Thomas HM; Department of Radiation Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
J Med Phys ; 46(3): 181-188, 2021.
Article em En | MEDLINE | ID: mdl-34703102
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Med Phys Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Índia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Med Phys Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Índia