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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

Contributor(s): Koch, Lisa (Editor), Cardoso, M Jorge (Editor), Ferrante, Enzo (Editor), Kamnitsas, Konstantinos (Editor), Islam, Mobarakol (Editor), Jiang, Meirui (Editor), Rieke, Nicola (Editor), Tsaftaris, Sotirios A (Editor), Yang, Dong (Editor)

ISBN: 9783031458569

Publisher: Springer

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Pub Date: October 14, 2023

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.39" H x 9.21" L x 6.14" W ( 0.58 lbs) 170 pages

Series: Lecture Notes in Computer Science

Descriptions, Reviews, etc.

Description: 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.

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