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Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.
Fujima, Noriyuki; Andreu-Arasa, V Carlota; Meibom, Sara K; Mercier, Gustavo A; Salama, Andrew R; Truong, Minh Tam; Sakai, Osamu.
Afiliación
  • Fujima N; Department of Radiology, Boston Medical Center, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Avenue, Boston, MA, 02118, USA.
  • Andreu-Arasa VC; Research Center for Cooperative Projects, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
  • Meibom SK; Department of Radiology, Boston Medical Center, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Avenue, Boston, MA, 02118, USA.
  • Mercier GA; Department of Radiology, Boston Medical Center, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Avenue, Boston, MA, 02118, USA.
  • Salama AR; Department of Radiology, Boston Medical Center, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Avenue, Boston, MA, 02118, USA.
  • Truong MT; Department of Otolaryngology - Head and Neck Surgery, Boston Medical Center, Boston University School of Medicine, Boston, USA.
  • Sakai O; Department of Oral & Maxillofacial Surgery, Boston Medical Center, Boston University Henry M. Goldman School of Dental Medicine, Boston, USA.
Eur Radiol ; 30(11): 6322-6330, 2020 Nov.
Article en En | MEDLINE | ID: mdl-32524219
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Boca / Diagnóstico por Computador / Tomografía Computarizada por Tomografía de Emisión de Positrones / Carcinoma de Células Escamosas de Cabeza y Cuello / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Boca / Diagnóstico por Computador / Tomografía Computarizada por Tomografía de Emisión de Positrones / Carcinoma de Células Escamosas de Cabeza y Cuello / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos