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Beschreibung
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.
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.
5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 14. Oktober 2023 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 283 Gramm |
| Format | Softcover |
| ISBN-13 | 9783031458569 |
| Auflage | 1st ed. 2024 |
| Seiten | 170 |
Schlagwörter
Angewandte Informatik, Bildverarbeitung, Computer and Information Systems Applications, Computer Application in Administrative Data Processing, Computer Imaging - Vision - Pattern Recognition and Graphics, Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften, Computing Milieux, Informationstechnik (IT) - allgemeine Themen, Machine Learning, Maschinelles Lernen
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