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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Sprache Englisch ● Format EPUB ● ISBN 9783031167607 ● Herausgeber Sameer Antani & Ulas Bagci ● Verlag Springer Nature Switzerland ● Erscheinungsjahr 2022 ● herunterladbar 3 mal ● Währung EUR ● ID 8805876 ● Kopierschutz Adobe DRM
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