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- W2542778049 abstract "The development of new vessels on the retina of people with diabetes is rare., but is likely to lead to severe visual impairment. The technique implements a supervised classification method for blood vessel detection as well as new vessels on the optic disc in digital retinal images. Blood vessel segmentation is performed through various stages: Preprocessing., Feature Extraction by using Gray-level and Moment Invariants-based., Classification and Post processing. For new vessel detection., the fourteen features are chosen based on their discrimination capability and absence of correlation with other features. Classification is performed using a Support Vector Machine. The system is trained and tested by cross-validation using 25 images with new vessels and 25 normal images without new vessels." @default.
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- W2542778049 date "2012-12-01" @default.
- W2542778049 modified "2023-09-24" @default.
- W2542778049 title "Comparative analysis on supervised classification techniques for segmentation and detecting abnormal blood vessels in retinal images" @default.
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- W2542778049 doi "https://doi.org/10.1109/incoset.2012.6513902" @default.
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