This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLan D 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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语言 英语 ● 格式 EPUB ● ISBN 9783031167607 ● 编辑 Sameer Antani & Ulas Bagci ● 出版者 Springer Nature Switzerland ● 发布时间 2022 ● 下载 3 时 ● 货币 EUR ● ID 8805876 ● 复制保护 Adobe DRM
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