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Titlebook: Information Processing in Medical Imaging; 18th International C Chris Taylor,J. Alison Noble Conference proceedings 2003 Springer-Verlag Be

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書目名稱Information Processing in Medical Imaging
副標(biāo)題18th International C
編輯Chris Taylor,J. Alison Noble
視頻videohttp://file.papertrans.cn/466/465164/465164.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Information Processing in Medical Imaging; 18th International C Chris Taylor,J. Alison Noble Conference proceedings 2003 Springer-Verlag Be
描述IPMI occupies an important position in the scienti?c calendar. Every two years, it brings together leading researchers in medical image formation, analysis and interpretation, for an international workshop that allows extensive, in-depth d- cussion of new ideas. Many of the most in?uential developments in the ?eld were ?rst presented at IPMI, and the series has done much to foster a rigorous sci- ti?c approach to information processing in medical imaging. IPMI 2003 was held over 5 days in July 2003 at St. Martin’s College, - bleside, in the heart of the English Lake District. Full papers were invited on any aspect of information processing in medical imaging, with particular - couragement for submissions exploring generic mathematical or computational principles. Recognizing the rapidly evolving nature of the ?eld, we encouraged a broadinterpretationofmedicalimaging:frommacroscopictomolecularimaging; from applications in patient care to those in biomedical research. We received 123 submissions by the deadline in February 2003. Each paper was reviewed by four members of the Scienti?c Committee, placing particular emphasis on originality, scienti?c rigor, and biomedical relevance. Pa
出版日期Conference proceedings 2003
關(guān)鍵詞3D; Bayesian inference; Radiologieinformationssystem; computer version; diagnosis; image analysis; magneti
版次1
doihttps://doi.org/10.1007/b11820
isbn_softcover978-3-540-40560-3
isbn_ebook978-3-540-45087-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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Learning Object Correspondences with the Observed Transport Shape Measuren a highly expressive and redundant construct and facilitates its manipulation. We present two learning strategies that rely on the distance matrix and discuss their applications to the matching of a variety of 1-D, 2-D and 3-D objects, including the corpus callosum and ventricular surfaces.
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Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validationes of its orientation as well as in a repeatedly CT-scanned rubber plastic phantom width sub-voxel accuracy and high reproducibility. Application to 35 human in vivo trees yielded reliable and well-positioned centerlines and branch-points.
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Minimum Description Length Shape and Appearance Modelsce Matlab code. The problems with the early MDL approaches are discussed. Finally the MDL approach is extended to an MDL Appearance Model, which is proposed as a means to perform unsupervised image segmentation.
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