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Titlebook: Computer Vision for Biomedical Image Applications; First International Yanxi Liu,Tianzi Jiang,Changshui Zhang Conference proceedings 2005

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發(fā)表于 2025-3-28 18:12:23 | 只看該作者
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發(fā)表于 2025-3-29 05:23:34 | 只看該作者
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發(fā)表于 2025-3-29 10:35:14 | 只看該作者
A Generalized Level Set Formulation of the Mumford-Shah Functional with Shape Prior for Medical Iman of the Mumford-Shah functional by a sound mathematical definition of line integral. The variational flow is implemented in level set framework and thus implicit and intrinsic. By embedding a weighted length term to the original Mumford-Shah functional, the paper presents a generic framework that i
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發(fā)表于 2025-3-29 14:25:22 | 只看該作者
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發(fā)表于 2025-3-29 17:47:09 | 只看該作者
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraiand contour-based segmentation constraints. A graphical model is constructed to represent the relationship of the observed image pixels, the region labels and the underlying object contour. We then formulate the problem of image segmentation as the one of joint region-contour inference and learning
48#
發(fā)表于 2025-3-29 20:35:01 | 只看該作者
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發(fā)表于 2025-3-30 01:51:59 | 只看該作者
A Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images,oblems. A variety of thresholding based algorithms have been proposed for MAs detection in mass screening. Most of them process fundus images globally without a mechanism to take into account the local properties and changes. Their performance is often susceptible to nonuniform illumination and loca
50#
發(fā)表于 2025-3-30 05:50:25 | 只看該作者
A New Coarse-to-Fine Framework for 3D Brain MR Image Registration, as an important role in biomedical image analysis and its applications. Although various methods have been proposed for solving different kinds of registration problems in computer vision, the results are still far from ideal when it comes to real world biomedical image applications. For instance,
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