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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Langue Anglais ● Format EPUB ● ISBN 9783031167607 ● Éditeur Sameer Antani & Ulas Bagci ● Maison d’édition Springer Nature Switzerland ● Publié 2022 ● Téléchargeable 3 fois ● Devise EUR ● ID 8805876 ● Protection contre la copie Adobe DRM
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