Retina Image Analysis and Ocular Telehealth: The Oak Ridge National Laboratory-Hamilton Eye Institute Case Study

Conference · Mon Jul 01 00:00:00 EDT 2013

DOI:https://doi.org/10.1109/EMBC.2013.6611204· OSTI ID:1092243

Karnowski, Thomas  ^[1]; Giancardo, Luca ^[1]; Li, Yi-Liang ^[2]; Tobin Jr, Kenneth  ^[1]; Chaum, Ed ^[2]

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1. ORNL
2. University of Tennessee, Knoxville (UTK)

Automated retina image analysis has reached a high level of maturity in recent years, and thus the question of how validation is performed in these systems is beginning to grow in importance. One application of retina image analysis is in telemedicine, where an automated system could enable the automated detection of diabetic retinopathy and other eye diseases as a low-cost method for broad-based screening. In this work we discuss our experiences in developing a telemedical network for retina image analysis, including our progression from a manual diagnosis network to a more fully automated one. We pay special attention to how validations of our algorithm steps are performed, both using data from the telemedicine network and other public databases.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1092243
• Resource Relation: Conference: IEEE EMBS 2013 - Osaka, , Japan - 7/3/2013 12:00:00 AM-7/7/2013 12:00:00 AM
• Country of Publication: United States
• Language: English