Machine Learning in Medical Imaging Machine Learning in Medical Imaging

Machine Learning in Medical Imaging

10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Heung-Il Suk and Others
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Publisher Description

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. 

The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. 

GENRE
Computers & Internet
RELEASED
2019
October 9
LANGUAGE
EN
English
LENGTH
713
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
106.5
MB
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