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.
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato EPUB ● ISBN 9783031167607 ● Editor Sameer Antani & Ulas Bagci ● Editorial Springer Nature Switzerland ● Publicado 2022 ● Descargable 3 veces ● Divisa EUR ● ID 8805876 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM