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| book details |
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
This book is currently unavailable. Enquire to check if we can source a used copy
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| book description |
This book consists of full papers presented in the 2nd workshop of â€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.
| product details |
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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