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- W2382160568 abstract "Early detection of glaucoma is essential to minimizing the risk of visual loss.It has been shown that a good predictor of glaucoma is the morphological parameters of the optic nerve head.To realize the computer-aided measurement of these parameters,this paper presents a novel,automated method to segment the optic nerve head based on the improved Random walks segmentation method and morphological pre-processing in polar coordination.In contrast with the state-of-art algorithms,the overlap accuracy is 96.52%acquired in the comparing segmentation results for our clinic retinal images database with the golden standards and verifies the effectiveness of the proposed algorithm." @default.
- W2382160568 created "2016-06-24" @default.
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- W2382160568 date "2009-01-01" @default.
- W2382160568 modified "2023-09-25" @default.
- W2382160568 title "A Novel Segmentation Method for the Optic Nerve Head in the Retinal Images" @default.
- W2382160568 hasPublicationYear "2009" @default.
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