Your browser doesn't support javascript.
loading
Deep learning for image-based liver analysis - A comprehensive review focusing on malignant lesions.
Survarachakan, Shanmugapriya; Prasad, Pravda Jith Ray; Naseem, Rabia; Pérez de Frutos, Javier; Kumar, Rahul Prasanna; Langø, Thomas; Alaya Cheikh, Faouzi; Elle, Ole Jakob; Lindseth, Frank.
Afiliación
  • Survarachakan S; Department of Computer Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway. Electronic address: shanmugapriya.survarachakan@ntnu.no.
  • Prasad PJR; The Intervention Centre, Oslo University Hospital, 0372 Oslo, Norway; Department of Informatics, University of Oslo, 0315 Oslo, Norway.
  • Naseem R; Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway.
  • Pérez de Frutos J; Department of Health Research, SINTEF A.S., 7030 Trondheim, Norway.
  • Kumar RP; The Intervention Centre, Oslo University Hospital, 0372 Oslo, Norway.
  • Langø T; Department of Health Research, SINTEF A.S., 7030 Trondheim, Norway.
  • Alaya Cheikh F; Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway.
  • Elle OJ; The Intervention Centre, Oslo University Hospital, 0372 Oslo, Norway; Department of Informatics, University of Oslo, 0315 Oslo, Norway.
  • Lindseth F; Department of Computer Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Artif Intell Med ; 130: 102331, 2022 08.
Article en En | MEDLINE | ID: mdl-35809970

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Hepáticas Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Hepáticas Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article