Medical Image Learning with Limited and Noisy Data

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First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22,2022, Proceedings, Lecture Notes in Computer Science 13559

ISBN: 3031167597
ISBN 13: 9783031167591
Herausgeber: Ghada Zamzmi/Sameer Antani/Ulas Bagci et al
Verlag: Springer Verlag GmbH
Umfang: xi, 240 S., 6 s/w Illustr., 71 farbige Illustr., 240 p. 77 illus., 71 illus. in color.
Erscheinungsdatum: 22.09.2022
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6434040 Kategorie:

Beschreibung

This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the 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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