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• W2113480316 abstract "Linear structures such as blood vessels in medical images are important features for computer-aided diagnosis and follow-up of many diseases. In this letter a new tracking-based segmentation method is proposed to detect blood vessels in retinal images. Bayesian segmentation with the Maximum <i xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>a posteriori</i> (MAP) Probability criterion is used for that purpose. Tests on simulated and retinal images are presented and compared with a vessel detection technique. Our method performs better results." @default.
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• W2113480316 date "2010-06-01" @default.
• W2113480316 modified "2023-09-26" @default.
• W2113480316 title "Statistical-Based Tracking Technique for Linear Structures Detection: Application to Vessel Segmentation in Medical Images" @default.
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• W2113480316 doi "https://doi.org/10.1109/lsp.2010.2046697" @default.
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