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| Artikel-Nr.: 5667A-9783031458569 Herst.-Nr.: 9783031458569 EAN/GTIN: 9783031458569 |
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![](/p.gif) | This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Lisa Koch; M. Jorge Cardoso; Enzo Ferrante; Konstantinos Kamnitsas; Mobarakol Islam; Meirui Jiang; Nicola Rieke; Sotirios A. Tsaftaris; Dong Yang | Verlag: | Springer International Publishing | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: Datenbanken (Fachbücher), Datenbankenbücher, bücher zu anwendungs-software - englischsprachig, artificial intelligence, medical imaging, transfer learning, color image processing, domain shift, domain adaptation, computer vision, data mining, image analysis, image processing, image quality |
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