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|a 9783642243196
|9 978-3-642-24319-6
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|a 10.1007/978-3-642-24319-6
|2 doi
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|a Machine Learning in Medical Imaging
|h [electronic resource] :
|b Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings /
|c edited by Kenji Suzuki, Fei Wang, Dinggang Shen, Pingkun Yan.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2011.
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|a XIII, 371 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7009
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|a 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.
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|a Computer science.
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|a Algorithms.
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|a Artificial intelligence.
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|a Computer graphics.
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|a Image processing.
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|a Pattern recognition.
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|a Computer Science.
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|a Image Processing and Computer Vision.
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|a Pattern Recognition.
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|a Computer Imaging, Vision, Pattern Recognition and Graphics.
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|a Artificial Intelligence (incl. Robotics).
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|a Algorithm Analysis and Problem Complexity.
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|a Information Systems Applications (incl. Internet).
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|a Suzuki, Kenji.
|e editor.
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|a Wang, Fei.
|e editor.
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|a Shen, Dinggang.
|e editor.
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|a Yan, Pingkun.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642243189
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7009
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|u http://dx.doi.org/10.1007/978-3-642-24319-6
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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