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Titlebook: Information Processing in Medical Imaging; 13th International C Harrison H. Barrett,A. F. Gmitro Conference proceedings 1993 Springer-Verla

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發(fā)表于 2025-3-27 00:40:03 | 只看該作者
32#
發(fā)表于 2025-3-27 02:58:45 | 只看該作者
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發(fā)表于 2025-3-27 06:43:47 | 只看該作者
34#
發(fā)表于 2025-3-27 10:12:36 | 只看該作者
Parameterized feasible boundaries in gradient vector fields,vantageous to attack the problem of extraction of object boundaries by a model-based segmentation procedure. Segmentation is achieved by tuning the parameters of the geometrical model in such a way that the boundary template locates and describes the object in the image..In this contribution we prop
35#
發(fā)表于 2025-3-27 17:03:11 | 只看該作者
36#
發(fā)表于 2025-3-27 20:42:04 | 只看該作者
Higher order differential structure of images,ction of structure from measured physical signals (i.e. images) is at stage. The Gaussian derivative kernels then are for physical signals the natural analogs of the mathematical differential operators. This paper discusses first some interesting properties of the Gaussian derivative kernels, like t
37#
發(fā)表于 2025-3-27 23:32:23 | 只看該作者
Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiographynd structure relationships. We describe a prototype system that extracts three-dimensional (3-D) curvilinear structures from volume image data and transforms them into a symbolic description which represents topological and geometrical features of tree-like, filamentous objects..The initial segmenta
38#
發(fā)表于 2025-3-28 03:31:47 | 只看該作者
39#
發(fā)表于 2025-3-28 08:22:19 | 只看該作者
Arrangement: A spatial relation comparing part embeddings and its use in medical image comparisons,of each part are situated around it. “Arrangement” is closely related to directional relations and extends the notion of directional relations to parts that have complex shapes. The relation captures a perceptual gestalt of the image. A metric for comparing “arrangements” is also proposed. The metri
40#
發(fā)表于 2025-3-28 12:42:55 | 只看該作者
Characterizing first and second-order patches using geometry-limited diffusion,an scale in order to smooth differential measurements in a manner that preserves structures of interest. The process is presented within a general framework that suggests a wide range of possibilities for segmenting images on the basis of homogeneity of local shape. Previous work has shown how first
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