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Titlebook: Machine Learning in Medical Imaging; 6th International Wo Luping Zhou,Li Wang,Yinghuan Shi Conference proceedings 2015 Springer Internation

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21#
發(fā)表于 2025-3-25 05:26:42 | 只看該作者
HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptorantization in the excitation domain, called as Weber local descriptor (WLD); (3) a data-driven coding strategy with a parametric probability process, and the extraction of not only low- but also high-order statistics for image representation called as Fisher vector; (4) the stacking of the Fisher ne
22#
發(fā)表于 2025-3-25 09:56:56 | 只看該作者
23#
發(fā)表于 2025-3-25 14:11:47 | 只看該作者
24#
發(fā)表于 2025-3-25 19:26:24 | 只看該作者
25#
發(fā)表于 2025-3-25 20:28:02 | 只看該作者
26#
發(fā)表于 2025-3-26 02:04:28 | 只看該作者
Benjamin S. C. Wade,Shantanu H. Joshi,Boris A. Gutman,Paul M. Thompsonhes to educational gerontology and fresh perspectives on important emerging issues faced by seniors around the globe. Issues discussed include the social construction of ageing, the importance of lifelong learning policy and pr978-94-6091-651-9
27#
發(fā)表于 2025-3-26 08:08:17 | 只看該作者
28#
發(fā)表于 2025-3-26 10:36:17 | 只看該作者
Marta Nu?ez-Garcia,Sonja Simpraga,Maria Angeles Jurado,Maite Garolera,Roser Pueyo,Laura Igualhes to educational gerontology and fresh perspectives on important emerging issues faced by seniors around the globe. Issues discussed include the social construction of ageing, the importance of lifelong learning policy and pr978-94-6091-651-9
29#
發(fā)表于 2025-3-26 15:06:40 | 只看該作者
Zuoyong Li,Le An,Jun Zhang,Li Wang,James J. Xia,Dinggang Shenhes to educational gerontology and fresh perspectives on important emerging issues faced by seniors around the globe. Issues discussed include the social construction of ageing, the importance of lifelong learning policy and pr978-94-6091-651-9
30#
發(fā)表于 2025-3-26 20:50:50 | 只看該作者
Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression,ts. In this paper the ability of shape regression is explored to segment right ventricle in presence of large shape variation among the patients. We propose a robust and efficient cascaded shape regression method which iteratively learns the final shape from a given initial shape. We use gradient bo
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