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Explainable AI in medical imaging: An overview for clinical practitioners - Saliency-based XAI approaches.
Borys, Katarzyna; Schmitt, Yasmin Alyssa; Nauta, Meike; Seifert, Christin; Krämer, Nicole; Friedrich, Christoph M; Nensa, Felix.
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  • Borys K; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Girardetstraße 2, 45131 Essen, Germany; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany. Electronic address: Katarzyna.Borys@uk-es
  • Schmitt YA; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Girardetstraße 2, 45131 Essen, Germany.
  • Nauta M; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Girardetstraße 2, 45131 Essen, Germany; Data Management & Biometrics Group, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands.
  • Seifert C; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Girardetstraße 2, 45131 Essen, Germany.
  • Krämer N; Department of Social Psychology, Media and Communication, University of Duisburg-Essen, Forsthausweg 2, 47057 Duisburg, Germany; Research Center "Trustworthy Data Science and Security", Otto-Hahn-Straße 14, 44227 Dortmund, Germany.
  • Friedrich CM; Department of Computer Science, University of Applied Sciences and Arts Dortmund, Emil-Figge-Straße 42, 44227 Dortmund, Germany; Institute for Medical Informatics, Biometry, and Epidemiology (IMIBE), Zweigertstraße 37, 45130 Essen, Germany.
  • Nensa F; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Girardetstraße 2, 45131 Essen, Germany; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany.
Eur J Radiol ; 162: 110787, 2023 May.
Article en En | MEDLINE | ID: mdl-37001254
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Médicos / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Médicos / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article