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Titlebook: Handbook of Biomedical Image Analysis; Volume 3: Registrati Jasjit S. Suri,David L. Wilson,Swamy Laxminarayan Book 2005 Springer-Verlag US

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書目名稱Handbook of Biomedical Image Analysis
副標(biāo)題Volume 3: Registrati
編輯Jasjit S. Suri,David L. Wilson,Swamy Laxminarayan
視頻videohttp://file.papertrans.cn/421/420903/420903.mp4
概述First time a work is being written which covers the role of image segmentation and image registration together.Three-volume sets constitutes a real system for effective use in biomedical applications
叢書名稱Topics in Biomedical Engineering. International Book Series
圖書封面Titlebook: Handbook of Biomedical Image Analysis; Volume 3: Registrati Jasjit S. Suri,David L. Wilson,Swamy Laxminarayan Book 2005 Springer-Verlag US
描述Our goal is to develop automated methods for the segmentation of thr- dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas images. Registration is performed by a highly parallel imp- mentation of an entropy-based nonrigid registration algorithm using B-spline transformations. We present and evaluate different methods to solve the cor- spondence problem in atlas based registration. An image can be segmented by registering it to an individual atlas, an average atlas, or multiple atlases. When registering to multiple atlases, combining the individual segmentations into a ?nalsegmentationcanbeachievedbyatlasselection,ormulticlassi?erdecision fusion. Wedescribeallthesemethodsandevaluatethesegmentationaccuracies that they achieve by performing experiments with electronic phantoms as well as by comparing their outputs to a manual gold standard. The present work is focused on the mathematical and computational t- ory behind a technique for deformable image registration termed Hyperelastic Warping, and demonstration of the technique via applications in image regist- tion and str
出版日期Book 2005
關(guān)鍵詞3D; Biomedical Image Analysis; Biomedical application; Resolution; Stent; Stereo; algorithms; biomedical ap
版次1
doihttps://doi.org/10.1007/b104807
isbn_softcover978-1-4899-9649-7
isbn_ebook978-0-306-48608-1
copyrightSpringer-Verlag US 2005
The information of publication is updating

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https://doi.org/10.1007/b1048073D; Biomedical Image Analysis; Biomedical application; Resolution; Stent; Stereo; algorithms; biomedical ap
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a real system for effective use in biomedical applications Our goal is to develop automated methods for the segmentation of thr- dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas ima
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