OPTIC DISC AND OPTIC CUP SEGMENTATION FOR GLAUCOMA SCREENING

This project is design based on the paper "Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening" There are three methods to detect glaucoma: 1) assessment of raised intraocular pressure (IOP), 2) assessment of abnormal visual field, 3) assessment of damaged optic nerve head.This paper work focuses on suerpixel classification for glaucoma screening. In optic disc segmentation, histograms, and center surround statistics are used to classify each superpixel as disc or non-disc. A self-assessment reliability score is computed to evaluate the quality of the automated optic disc segmentation. For optic cup segmentation, in addition to the histograms and center surround statistics, the location information is also included into the feature space to boost the performance. The segmented optic disc and optic cup are then used to compute the cup to disc ratio for glaucoma screening. You can DOWNLOAD dataset and sample Matlab Code with reference paper.Request design files for academic purpose, contact +91 7904568456 by whatsapp or sales@verilogcourseteam.com. SIMULATION VIDEO DEMO