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Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification.
Jungmann, Friederike; Ziegelmayer, Sebastian; Lohoefer, Fabian K; Metz, Stephan; Müller-Leisse, Christina; Englmaier, Maximilian; Makowski, Marcus R; Kaissis, Georgios A; Braren, Rickmer F.
Afiliación
  • Jungmann F; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Ziegelmayer S; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Lohoefer FK; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Metz S; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Müller-Leisse C; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Englmaier M; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Makowski MR; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Kaissis GA; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany.
  • Braren RF; Department of Computing, Faculty of Engineering, Imperial College of Science, Technology and Medicine, London, SW7 2AZ, UK.
Eur Radiol ; 33(3): 1844-1851, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36282311
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Vasculares / Neoplasias de la Mama Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Vasculares / Neoplasias de la Mama Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania