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.
| ISBN: | 9783030326913 |
| Publication date: | 10th October 2019 |
| Author: | HeungIl Suk |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 695 pages |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Genres: |
Computer vision Artificial intelligence |
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.
Machine Learning in Medical Imaging features in the following genres: Computer vision, Artificial intelligence
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Machine Learning in Medical Imaging was written by HeungIl Suk and published by Springer Nature Switzerland AG
Machine Learning in Medical Imaging has 695 pages
Yes it is part of Image Processing, Computer Vision, Pattern Recognition, and Graphics series
£40.49, reduced from £44.99. Not Available.