Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Author:   Ghada Zamzmi ,  Sameer Antani ,  Ulas Bagci ,  Marius George Linguraru
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   13559
ISBN:  

9783031167591


Pages:   240
Publication Date:   22 September 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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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


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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.

Full Product Details

Author:   Ghada Zamzmi ,  Sameer Antani ,  Ulas Bagci ,  Marius George Linguraru
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   13559
Weight:   0.391kg
ISBN:  

9783031167591


ISBN 10:   3031167597
Pages:   240
Publication Date:   22 September 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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