Suzuki Machine Learning in Medical Imaging

Machine Learning in Medical Imaging

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Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings

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Beschreibung

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.
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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Autor*in

Kenji Suzuki

Themen in »Machine Learning in Medical Imaging«

artificial neural network computer assisted surgery graphical model multi-modality support vector machines algorithm analysis and problem complexity

Stimmen zu »Machine Learning in Medical Imaging«

Details

ISBN: 9783642243196
Verlag: Springer Berlin
Erscheinung: 25.09.2011

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