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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Lingua Inglese ● Formato EPUB ● ISBN 9783031167607 ● Editore Sameer Antani & Ulas Bagci ● Casa editrice Springer Nature Switzerland ● Pubblicato 2022 ● Scaricabile 3 volte ● Moneta EUR ● ID 8805876 ● Protezione dalla copia Adobe DRM
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