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Domain Adaptation and Representation Transfer 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings /

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....

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Bibliografski detalji
Autor kompanije: SpringerLink (Online service)
Daljnji autori: Koch, Lisa (Urednik), Cardoso, M. Jorge (Urednik), Ferrante, Enzo (Urednik), Kamnitsas, Konstantinos (Urednik), Islam, Mobarakol (Urednik), Jiang, Meirui (Urednik), Rieke, Nicola (Urednik), Tsaftaris, Sotirios A. (Urednik), Yang, Dong (Urednik)
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Izdanje:1st ed. 2024.
Serija:Lecture Notes in Computer Science, 14293
Teme:
Image processing > Digital techniques.
Computer vision.
Application software.
Machine learning.
Computers.
Information technology > Management.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer and Information Systems Applications.
Machine Learning.
Computing Milieux.
Computer Application in Administrative Data Processing.
Online pristup:https://doi.org/10.1007/978-3-031-45857-6
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Opis
Sažetak: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. .
Opis fizičkog objekta:1 online resource (X, 170 p. 44 illus.). 40 illus. in color.
ISBN:9783031458576
ISSN:1611-3349 ;
Digitalni identifikator objekta:10.1007/978-3-031-45857-6

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