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Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty.
Jiménez-Sánchez, Amelia; Mateus, Diana; Kirchhoff, Sonja; Kirchhoff, Chlodwig; Biberthaler, Peter; Navab, Nassir; González Ballester, Miguel A; Piella, Gemma.
Afiliación
  • Jiménez-Sánchez A; BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain. Electronic address: amelia.jimenez@upf.edu.
  • Mateus D; LS2N, UMR CNRS 6004, Ecole Centrale de Nantes, Nantes, France.
  • Kirchhoff S; Institute of Clinical Radiology, LMU München, Munich, Germany; Department of Trauma Surgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
  • Kirchhoff C; Department of Trauma Surgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
  • Biberthaler P; Department of Trauma Surgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
  • Navab N; Computer Aided Medical Procedures, Technische Universität München, Munich, Germany; Johns Hopkins University, Baltimore, USA.
  • González Ballester MA; BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; ICREA, Barcelona, Spain.
  • Piella G; BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Med Image Anal ; 75: 102273, 2022 01.
Article en En | MEDLINE | ID: mdl-34731773
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article