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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язык английский ● Формат EPUB ● ISBN 9783031167607 ● редактор Sameer Antani & Ulas Bagci ● издатель Springer Nature Switzerland ● опубликованный 2022 ● Загружаемые 3 раз ● валюта EUR ● Код товара 8805876 ● Защита от копирования Adobe DRM
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