Clustering Retinal Images of Age-Related Macular Degeneration
Advisor Information
Parvathi Chundi
Location
Dr. C.C. and Mabel L. Criss Library
Presentation Type
Poster
Start Date
6-3-2015 11:00 AM
End Date
6-3-2015 12:30 PM
Abstract
Age-Related Macular Degeneration (AMD) is a condition most heavily affecting the elderly in which patients suffer retinal damage, and consequently have impaired vision. In this study, 14 optical coherence tomography (OCT) images from retinas of patients suffering from (AMD) are pre-processed and then clustered using the k-means clustering method. The clusters are subsequently evaluated using a similarity metric based on the percentage of diseased retina. This work has practical implications for efficient analysis of retinal health of AMD patients. Future work includes exploring different clustering methods, and evaluating clusters by a physician.
Clustering Retinal Images of Age-Related Macular Degeneration
Dr. C.C. and Mabel L. Criss Library
Age-Related Macular Degeneration (AMD) is a condition most heavily affecting the elderly in which patients suffer retinal damage, and consequently have impaired vision. In this study, 14 optical coherence tomography (OCT) images from retinas of patients suffering from (AMD) are pre-processed and then clustered using the k-means clustering method. The clusters are subsequently evaluated using a similarity metric based on the percentage of diseased retina. This work has practical implications for efficient analysis of retinal health of AMD patients. Future work includes exploring different clustering methods, and evaluating clusters by a physician.