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Titlebook: Nanotechnology for Biology and Medicine; At the Building Bloc Gabriel A. Silva,Vladimir Parpura Book 2012 Springer Science+Business Media,

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書目名稱Nanotechnology for Biology and Medicine
副標(biāo)題At the Building Bloc
編輯Gabriel A. Silva,Vladimir Parpura
視頻videohttp://file.papertrans.cn/662/661092/661092.mp4
概述The contributions in this book have been written by some of the pioneers in the development and application of nanotechnology to biology and medicine.It is a reflection and testament to the amount of
叢書名稱Fundamental Biomedical Technologies
圖書封面Titlebook: Nanotechnology for Biology and Medicine; At the Building Bloc Gabriel A. Silva,Vladimir Parpura Book 2012 Springer Science+Business Media,
描述.This text book will bring together a mix of both internationally known and established senior scientists along side up and coming (but already accomplished) junior scientists that have varying expertise in fundamental and applied nanotechnology to biology and medicine. .
出版日期Book 2012
版次1
doihttps://doi.org/10.1007/978-0-387-31296-5
isbn_softcover978-1-4614-3023-0
isbn_ebook978-0-387-31296-5Series ISSN 1559-7083 Series E-ISSN 2626-8655
issn_series 1559-7083
copyrightSpringer Science+Business Media, LLC. 2012
The information of publication is updating

書目名稱Nanotechnology for Biology and Medicine影響因子(影響力)




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Carbon Nanotubes as Electrical Interfaces to Neurons
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is devoted to this case. The analysis of shape selection by surface tension is briefly described as well as more recent studies of faceted dendrites, self-affine growing shapes and simplified models of anisotropic growth. To analyse the complex patterns which forms in the isotropic case, many paths
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Serena Silvi,Alberto Credibust estimators that are classically meant to deal with statistical outliers can also be used to deal with these ‘mixed model distributions’. In this paper we introduce the robust estimators of local image structure. Starting with the Gaussian facet model model where we replace the quadratic error n
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Shuguang Zhang,Hidenori Yokoi,Fabrizio Gelain,Akihiro Horiile method is implemented on the GPU. Experiments are done on medical, as well as on video data and camera streams that are processed in real-time. In terms of medical data we compare our method with a segmentation done by an expert. The GPU based binaries will be available online on our homepage.
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