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In this paper, we present a multi-scale approach based on superpixel classification for optic cup localization. Our approach provides 3 major contributions. First, a contrast enhancement scheme is proposed to reduce illumination influence and enhance feature discrimination. Second, features are extracted from multiple superpixels scales for richer description of the optic cup. Third, a unique cup...
In this paper, we present an unsupervised framework using domain priors extracted from the primary structures of the optic nerve head for automated optic cup localization. Our approach provides 3 major contributions. First, we identify a new domain prior, optic cup origin. This prior is derived from the physiological understanding that the central retinal vessels traces its origin from the optic cup...
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