Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/122486
Title: AUTOMATED METHODS FOR RETINOPATHY AND GLAUCOMA SCREENING
Authors: LIM YONG SAN GILBERT
Keywords: diabetic retinopathy, retinal lesions, microaneurysms, haemorrhages, exudates, glaucoma
Issue Date: 4-Aug-2015
Citation: LIM YONG SAN GILBERT (2015-08-04). AUTOMATED METHODS FOR RETINOPATHY AND GLAUCOMA SCREENING. ScholarBank@NUS Repository.
Abstract: THERE IS PREDICTED TO BE A RISING DEMAND FOR SYSTEMS THAT CAN EFFICIENTLY PROCESS AND SCREEN PHOTOGRAPHS OF THE RETINA, DUE TO THE INCREASE IN AGE AND DIABETES-RELATED EYE DISEASES. WE SURVEY THE EXISTING LITERATURE AND DISCUSS WELL-KNOWN APPROACHES TO THE PROBLEM OF AUTOMATED DIAGNOSIS OF RETINAL PATHOLOGY AND GLAUCOMA. WE PROPOSE A NEW LESION DETECTION FRAMEWORK UTILIZING THE ESTABLISHED CONSTRAINED-MAXIMALLY STABLE EXTREMAL REGION (C-MSER) BLOB DETECTOR, WHICH HAS PROPERTIES THAT MAKE IT ESPECIALLY SUITED TO THE TASK. WE NEXT INTRODUCE A NOVEL REPRESENTATIONAL TRANSFORM ON THE C-MSER OUTPUT, WHICH BYPASSES THE SCALE SELECTION PROBLEM THAT HAS LIMITED THE UTILITY OF DEEP CONVOLUTIONAL NEURAL NETWORKS (CNN). FINALLY, WE INTRODUCE FEATURE EXAGGERATION PREPROCESSING ON OPTIC DISC CLOSE-UPS, FOLLOWED BY STRUCTURAL SEGMENTATION USING CNN PROBABILITY MAPS. EXPERIMENTS ON MULTIPLE RETINAL DATASETS SUGGEST THAT THIS IS A VIABLE APPROACH FOR THE DETECTION OF RETINOPATHY AND GLAUCOMA IN RETINA
URI: http://scholarbank.nus.edu.sg/handle/10635/122486
Appears in Collections:Ph.D Theses (Open)

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