Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Ghada Zamzmi · Sameer Antani · Ulas Bagci · Marius George Linguraru · Sivaramakrishnan Rajaraman · Zhiyun Xue
Sep 2022 · Springer Nature
Ebook
240
Pages
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About this ebook
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.
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