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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings (Paperback, 1st ed. 2017) Loot Price: R2,775

Discovery Miles 27 750

Repayment Terms: R260 pm x 12*

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Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City,...

Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings (Paperback, 1st ed. 2017)

Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki

Series: Lecture Notes in Computer Science, 10541

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Loot Price R2,775 Discovery Miles 27 750 | Repayment Terms: R260 pm x 12*

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This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 10541
Release date:	September 2017
First published:	2017
Editors:	Qian Wang • Yinghuan Shi • Heung-Il Suk • Kenji Suzuki
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	391
Edition:	1st ed. 2017
ISBN-13:	978-3-319-67388-2
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-319-67388-2
Barcode:	9783319673882