A Novel Adaptive Deformable Model For Automated Optic Disc And Cup Segmentation To Aid Glaucoma Diagnosis
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A Novel Adaptive Deformable Model for Automated Optic Disc
posed a novel adaptive deformable model for automatic segmentation of the optic disc and cup capable of capturing shape variation and irregularity. Our approach doesn t need to fit a predefined template or shape constraints. The major contributions include: 1. AnewRegionClassificationModel(RCM)whichiden-
Analysis of Retinal Images Using Detection of the Blood
the optic disc. In , a method was described to segment the cup using pixel features from stereo disparity maps. Also,  described a deformable model which included depth information from images.Both optic disc segmentation  and optic cup segmentation  was able to utilize depth information from the imaging modality itself. Analysis of