Machine Learning in Medical Imaging PDF
By:Heung-Il Suk,Mingxia Liu,Pingkun Yan,Chunfeng Lian
Published on 2019-10-10 by Springer
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.
This Book was ranked at 5 by Google Books for keyword medical imaging computer science.
Book ID of Machine Learning in Medical Imaging's Books is JY0jyQEACAAJ, Book which was written byHeung-Il Suk,Mingxia Liu,Pingkun Yan,Chunfeng Lianhave ETAG "o0zYingPJFs"
Book which was published by Springer since 2019-10-10 have ISBNs, ISBN 13 Code is 9783030326913 and ISBN 10 Code is 3030326918
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