Joint Optic Disc and Cup Boundary extraction from Monocular fundus images

Background and Objective: Accurate segmentation of Optic disc and cup from monocular color fundus images plays a significant role in the screening and diagnosis of glaucoma. Though optic cup is characterized by the drop in depth from the disc boundary, most existing methods segment the two structures separately and rely only on color and vessel kink based cues due to the lack of explicit depth information in color fundus images.Methods: We propose a novel boundary-based Conditional Random Field formulation that extracts both the optic disc and cup boundaries in a single optimization step.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research