UID:
almahu_9949724051302882
Format:
X, 168 p. 55 illus., 50 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031581717
Series Statement:
Lecture Notes in Computer Science, 14379
Content:
This LNCS conference volume constitutes the proceedings of the 3rd International Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions. The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031581700
Additional Edition:
Printed edition: ISBN 9783031581724
Language:
English
DOI:
10.1007/978-3-031-58171-7
URL:
https://doi.org/10.1007/978-3-031-58171-7
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