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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Språk Engelska ● Formatera EPUB ● ISBN 9783031167607 ● Redaktör Sameer Antani & Ulas Bagci ● Utgivare Springer Nature Switzerland ● Publicerad 2022 ● Nedladdningsbara 3 gånger ● Valuta EUR ● ID 8805876 ● Kopieringsskydd Adobe DRM
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