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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Edited by Heung-Il Suk, Edited by Mingxia Liu, Edited by Pingkun Yan, Edited by Chunfeng Lian

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normal price: R 1 832.95

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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. 

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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Nature Switzerland AG
Published date | 10 Oct 2019
Language |
Format | Paperback / softback
Pages | 695
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0303-2691-3
Readership Age |
BISAC | computers / computer vision


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 2 267.95
Price | R 2 153.95 | on special |



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