Medical Image Learning with Limited and Noisy Data

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128,39 

Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8,2023, Proceedings, Lecture Notes in Computer Science 14307

ISBN: 3031471962
ISBN 13: 9783031471964
Herausgeber: Zhiyun Xue/Sameer Antani/Ghada Zamzmi et al
Verlag: Springer Verlag GmbH
Umfang: xi, 270 S., 5 s/w Illustr., 72 farbige Illustr., 270 p. 77 illus., 72 illus. in color.
Erscheinungsdatum: 31.10.2023
Auflage: 1/2023
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 821516 Kategorie:

Beschreibung

This book consists of full papers presented in the 2nd workshop of Medical Image Learning with Noisy and Limited Data (MILLanD) held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.

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