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Medical Image Learning with Limited and Noisy Data: Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Edited by Zhiyun Xue, Edited by Sameer Antani, Edited by Ghada Zamzmi, Edited by Feng Yang, Edited by Sivaramakrishnan Rajaraman, Edited by Sharon Xiaolei Huang, Edited by Marius George Linguraru, Edited by Zhaohui Liang





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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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Normally shipped | Enquiries only
Publisher | Springer International Publishing AG
Published date | 31 Oct 2023
Language |
Format | Paperback / softback
Pages | 270
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0314-7196-4
Readership Age |
BISAC | computers / computer vision


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