Medical Image Learning with Limited and Noisy Data First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

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 p...

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Bibliographic Details
Other Authors: Zamzmi, Ghada (Editor), Antani, Sameer (Editor), Bagci, Ulas (Editor), Linguraru, Marius George (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2022, 2022
Edition:1st ed. 2022
Series:Lecture Notes in Computer Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XI, 240 p. 77 illus., 71 illus. in color online resource
ISBN:9783031167607