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Titlebook: Machine Learning in Medical Imaging; Third International Fei Wang,Dinggang Shen,Kenji Suzuki Conference proceedings 2012 Springer-Verlag B

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書目名稱Machine Learning in Medical Imaging
副標(biāo)題Third International
編輯Fei Wang,Dinggang Shen,Kenji Suzuki
視頻videohttp://file.papertrans.cn/621/620684/620684.mp4
概述High quality selected papers.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning in Medical Imaging; Third International  Fei Wang,Dinggang Shen,Kenji Suzuki Conference proceedings 2012 Springer-Verlag B
描述This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. .The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.
出版日期Conference proceedings 2012
關(guān)鍵詞3D; image classification; image registration; image segmentation; weakly supervised learning
版次1
doihttps://doi.org/10.1007/978-3-642-35428-1
isbn_softcover978-3-642-35427-4
isbn_ebook978-3-642-35428-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Machine Learning in Medical Imaging978-3-642-35428-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-642-35428-13D; image classification; image registration; image segmentation; weakly supervised learning
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ta should provide a good measurement of who participates, for what reasons and in what types of education and training activities. But furthermore, it is also crucial that data about education and training opportunities and social policy indicators are available, which can be matched with the indivi
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Manhua Liu,Daoqiang Zhang,Pew-Thian Yap,Dinggang Shennization and impact on morbidity-mortality rates, and in the health status of the population. Such trends point out that becoming ill is closely related to socioeconomic-environmental conditions, and also leads to a series of challenges for defining strategic plans of Multilateral Government Agencie
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Shu Liao,Daoqiang Zhang,Pew-Thian Yap,Guorong Wu,Dinggang Shenind performs at peak, and when it is absent the mind is in a state of deterioration. Increasingly research supports the Biophilia Hypothesis: studies show that a connection to Nature provides psychological, physical, and emotional benefits. Concurrently, the world’s urban population is rapidly growi
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