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Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning.
Cha, Kenny H; Hadjiiski, Lubomir; Chan, Heang-Ping; Weizer, Alon Z; Alva, Ajjai; Cohan, Richard H; Caoili, Elaine M; Paramagul, Chintana; Samala, Ravi K.
Afiliación
  • Cha KH; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, 48109, United States. heekon@med.umich.edu.
  • Hadjiiski L; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
  • Chan HP; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
  • Weizer AZ; Department of Urology, Comprehensive Cancer Center, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
  • Alva A; Department of Internal Medicine, Hematology-Oncology, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
  • Cohan RH; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
  • Caoili EM; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
  • Paramagul C; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
  • Samala RK; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, 48109, United States.
Sci Rep ; 7(1): 8738, 2017 08 18.
Article en En | MEDLINE | ID: mdl-28821822
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria / Informática Médica / Tomografía Computarizada por Rayos X / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria / Informática Médica / Tomografía Computarizada por Rayos X / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos