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Clinically Relevant Classification and Retrieval of Diabetic Retinopathy Images

Abstract Diabetic retinopathy (DR) is a common cause of blindness occurring due to prolonged presence of diabetes. The risk of developing DR or having the disease progress is increasing over time. Despite advances in diabetes care over the years, DR remains a vision-threatening complication and one of the leading causes of blindness among American adults. Recent studies have shown that diagnosis based on digital retinal imaging has potential benefits over traditional face-to-face evaluation. Yet there is a dearth of computer-based systems that can match the level of performance achieved by ophthalmologists. This thesis takes a fresh perspective in developing a computer-based system aimed at improving diagnosis of DR images. These images are categori... (more)
Created Date 2012
Contributor Chandakkar, Parag Shridhar (Author) / Li, Baoxin (Advisor) / Turaga, Pavan (Committee member) / Frakes, David (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Clinical Relevance / Computer Vision / Diabetic Retinopathy / Image Processing / Multiple Instance Retrieval / Spectral tuning
Type Masters Thesis
Extent 90 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Electrical Engineering 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis