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books
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Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Edited by Mingxia Liu, Edited by Pingkun Yan, Edited by Chunfeng Lian, Edited by Xiaohuan Cao
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normal price: R 3 795.95
Price: R 3 606.95
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| book description |
This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 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.
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 3 Oct 2020
Language |
Format | Paperback / softback
Pages | 686
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0305-9860-0
Readership Age |
BISAC | computers / computer vision
| other options |
Normally shipped |
Readership Age |
Normal Price | R 4 600.95
Price | R 4 370.95
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