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An automatic liver lesion detection method for CT images is presented, which need not learn the model parameters and segment liver region. The lesion detection problem is formulated as finding a region with maximal score. The developed method employs an over-segmentation algorithm to generate the superpixels (small regions) and adapts the Naive Bayes Nearest Neighbor (NBNN) classifier to score the...
We propose a novel affinity matrix for image segmentation in this paper. The affinity matrix is constructed by using the Gaussian weighted Chi-square distance with neighborhood information, in which the vital spatial structure of the image is considered. An adaptive local scaling parameter is used to refine the segmentation rather than selecting a single scaling parameter. We demonstrate that graph-based...
Age-related macular degeneration (AMD) with the complication of choroidal neovascularization (CNV) has been the major cause of severe, irreversible vision loss in many developed countries. The imaging modality that is commonly used to reveal the vascular abnormalities of CNV is fluorescein angiography (FA). Analysis and interpretation of FA sequences are largely performed by skilled observers on single...
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