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Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Paperback, 1st ed. 2022) Loot Price: R1,526
Discovery Miles 15 260
Repayment Terms: R143 pm x 12*
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Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with...

Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Paperback, 1st ed. 2022)

Ghada Zamzmi, Sameer Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue

Series: Lecture Notes in Computer Science, 13559

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Loot Price R1,526 Discovery Miles 15 260 | Repayment Terms: R143 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 13559
Release date: September 2022
First published: 2022
Editors: Ghada Zamzmi • Sameer Antani • Ulas Bagci • Marius George Linguraru • Sivaramakrishnan Rajaraman • Zhiyun Xue
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 240
Edition: 1st ed. 2022
ISBN-13: 978-3-03-116759-1
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 3-03-116759-7
Barcode: 9783031167591

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