|
|
books
| book details |
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings
Edited by M. Jorge Cardoso, Edited by Tal Arbel, Edited by Gustavo Carneiro, Edited by Tanveer Syeda-Mahmood, Edited by João Manuel R.S. Tavares, Edited by Mehdi Moradi, Edited by Andrew Bradley, Edited by Hayit Greenspan, Edited by João Paulo Papa, Edited by Anant Madabhushi
|
| on special |
normal price: R 2 086.95
Price: R 1 878.95
|
| book description |
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 9 Sep 2017
Language |
Format | Paperback / softback
Pages | 385
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3196-7557-2
Readership Age |
BISAC | computers / computer vision
| other options |
Normally shipped |
Readership Age |
Normal Price | R 2 691.95
Price | R 2 422.95
| on special |
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
|
A terrifying locked-room mystery set in a remote outpost on Mars.
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|
|
|
