Machine Learning in Medical Imaging
12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Pingkun Yan editor Chunfeng Lian editor Islem Rekik editor Xiaohuan Cao editor Xuanang Xu editor
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:27th Sep '21
Currently unavailable, and unfortunately no date known when it will be back
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*
The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned 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.
*The workshop was held virtually.ISBN: 9783030875886
Dimensions: unknown
Weight: unknown
704 pages
1st ed. 2021