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Titlebook: Medical Image Computing and Computer-Assisted Intervention –MICCAI 2016; 19th International C Sebastien Ourselin,Leo Joskowicz,William Well

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書目名稱Medical Image Computing and Computer-Assisted Intervention –MICCAI 2016
副標題19th International C
編輯Sebastien Ourselin,Leo Joskowicz,William Wells
視頻videohttp://file.papertrans.cn/630/629268/629268.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Medical Image Computing and Computer-Assisted Intervention –MICCAI 2016; 19th International C Sebastien Ourselin,Leo Joskowicz,William Well
描述.The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016..Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis; brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis..
出版日期Conference proceedings 2016
關(guān)鍵詞biomechanical simulation; brain network analysis; computer aided diagnosis; robot intervention; surgical
版次1
doihttps://doi.org/10.1007/978-3-319-46720-7
isbn_softcover978-3-319-46719-1
isbn_ebook978-3-319-46720-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629268.jpg
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A Continuous Model of Cortical Connectivity,ellations with respect to connectivty. We further present empirical results that suggest the “discrete” connectomes derived from our model have substantially higher test-retest reliability compared to standard methods.
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0302-9743 nal Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016..Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers h
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