Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design

Buy Now

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, Quebec City, QC, Canada, September 14, Proceedings (Paperback, 1st ed. 2017) Loot Price: R3,164

Discovery Miles 31 640

Repayment Terms: R297 pm x 12*

Add to cart

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop,...

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, Quebec City, QC, Canada, September 14, Proceedings (Paperback, 1st ed. 2017)

M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, Joao Manuel R.S. Tavares, Mehdi Moradi, Andrew Bradley, Hayit Greenspan, Joao Paulo Papa, Anant Madabhushi

Series: Lecture Notes in Computer Science, 10553

(sign in to rate)

Loot Price R3,164 Discovery Miles 31 640 | Repayment Terms: R297 pm x 12*

Expected to ship within 10 - 15 working days

Description
Details
Customer Reviews

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 Quebec 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 10553
Release date:	September 2017
First published:	2017
Editors:	M. Jorge Cardoso • Tal Arbel • Gustavo Carneiro • Tanveer Syeda-Mahmood • Joao Manuel R.S. Tavares • Mehdi Moradi • Andrew Bradley • Hayit Greenspan • Joao Paulo Papa • Anant Madabhushi
Dimensions:	235 x 155 x 29mm (L x W x T)
Format:	Paperback
Pages:	385
Edition:	1st ed. 2017
ISBN-13:	978-3-319-67557-2
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-319-67557-5
Barcode:	9783319675572