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Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings (Paperback) Loot Price: R1,624
Discovery Miles 16 240
Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto,...

Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings (Paperback)

Kenji Suzuki, Fei Wang, Dinggang Shen, Pingkun Yan

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 7009

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Loot Price R1,624 Discovery Miles 16 240 | Repayment Terms: R152 pm x 12*

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This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 7009
Release date: September 2011
First published: 2011
Editors: Kenji Suzuki • Fei Wang • Dinggang Shen • Pingkun Yan
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Paperback
Pages: 371
ISBN-13: 978-3-642-24318-9
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-642-24318-5
Barcode: 9783642243189

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