Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Paperback, 1st ed. 2022)

This book constitutes the refereed proceedings of the 4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with MICCAI 2022, in September 2022. DART 2022 accepted 13 papers from the 25 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 13542
Release date:	September 2022
First published:	2022
Editors:	Konstantinos Kamnitsas • Lisa Koch • Mobarakol Islam • Ziyue Xu • Jorge Cardoso • Qi Dou • Nicola Rieke • Sotirios Tsaftaris
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	147
Edition:	1st ed. 2022
ISBN-13:	978-3-03-116851-2
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-03-116851-8
Barcode:	9783031168512

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