Pixel classification via Random Forests on Hessian, morphology, and diffusion features with ELEMENT region-growing control reaches 95.48% accuracy on X-ray cardiac angiograms.
117 66-71 (23] Lupascu CA, Tegolo Dand Trucco E2010 Fabc: Retinal vessel segmentation usingadaboost IEEE Trans
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X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing
Pixel classification via Random Forests on Hessian, morphology, and diffusion features with ELEMENT region-growing control reaches 95.48% accuracy on X-ray cardiac angiograms.