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Type: BOOK - Published: 2023-11-08 - Publisher: Springer Nature

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This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with t
Medical Image Learning with Limited and Noisy Data
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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
Deep Learning for Medical Image Analysis
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Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses
Deep Learning in Medical Image Analysis
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This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, imag
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
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The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and