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By: (Edited by) Ghada Zamzmi , (Edited by) Marius George Linguraru , (Edited by) Sameer Antani , (Edited by) Sivaramakrishnan Rajaraman , (Edited by) Ulas Bagci , (Edited by) Zhiyun Xue
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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.
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