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Titlebook: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017; 20th International C Maxime Descoteaux,Lena Maier-Hein,Simon Duch

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书目名称Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
副标题20th International C
编辑Maxime Descoteaux,Lena Maier-Hein,Simon Duchesne
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017; 20th International C Maxime Descoteaux,Lena Maier-Hein,Simon Duch
描述The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017..The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature .extraction and classification techniques; and machine learning in medical image computing.
出版日期Conference proceedings 2017
关键词artificial intelligence; computer vision; estimation; face recognition; image analysis; image processing;
版次1
doihttps://doi.org/10.1007/978-3-319-66182-7
isbn_softcover978-3-319-66181-0
isbn_ebook978-3-319-66182-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629232.jpg
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978-3-319-66181-0Springer International Publishing AG 2017
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https://doi.org/10.1007/978-3-319-66182-7artificial intelligence; computer vision; estimation; face recognition; image analysis; image processing;
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Conference proceedings 2017 and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017..The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: at
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Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlasesompared with existing methods, including the one using sparse representation with . regularization, our approach generates longitudinal infant atlases with much richer and more consistent features of the developing infant brain, as shown by the experimental results.
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Falx Cerebri Segmentation via Multi-atlas Boundary Fusionce. The continuous-STAPLE algorithm fuses sets of corresponding points to produce an estimate of the corrected falx boundary. Correspondence between points on the deformed falx boundaries is obtained using coherent point drift. We compare our method to manual ground truth, a multi-atlas approach without correction, and single-atlas approaches.
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