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- W2036403776 abstract "A new texture feature-based seeded region growing algorithm is proposed for automated segmentation of organs in abdominal MR images. 2D Co-occurrence texture feature, Gabor texture feature, and both 2D and 3D Semi- variogram texture features are extracted from the image and a seeded region growing algorithm is run on these feature spaces. With a given Region of Interest (ROI), a seed point is automatically se-lected based on three homogeneity criteria. A threshold is then obtained by taking a lower value just before the one causing ‘explosion’. This algorithm is tested on 12 series of 3D ab-dominal MR images." @default.
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- W2036403776 date "2009-01-01" @default.
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- W2036403776 title "Texture feature based automated seeded region growing in abdominal MRI segmentation" @default.
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- W2036403776 doi "https://doi.org/10.4236/jbise.2009.21001" @default.
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