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books
| book details |
Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Edited by Ghada Zamzmi, Edited by Sameer Antani, Edited by Ulas Bagci, Edited by Marius George Linguraru, Edited by Sivaramakrishnan Rajaraman, Edited by Zhiyun Xue
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normal price: R 1 707.95
Price: R 1 536.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 22 Sep 2022
Language |
Format | Paperback / softback
Pages | 240
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0311-6759-1
Readership Age |
BISAC | computers / computer vision
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