Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27,...
- ISBN-10
- 303087589X
- ISBN-13
- 9783030875893
- Series
- Machine Learning in Medical Imaging
- Category
- Computers
- Pages
- 704
- Language
- English
- Published
- 2021-09-25
- Publisher
- Springer Nature
- Authors
- Pingkun Yan, Chunfeng Lian, Xiaohuan Cao
Description
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.
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Other editions
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- 2020-10-02
- 686 pages
- Ebook
- Springer Nature
-
- 2017-09-06
- 391 pages
- Ebook
- Springer
-
- 2015-10-08
- 341 pages
- Ebook
- Springer
-
- 2011-09-25
- 371 pages
- Ebook
- Springer
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