Automatic Detection of Diabetic Retinopathy and Age-Related Macular Degeneration in Digital Fundus Images
Investigative Ophthalmology & Visual Science2011Vol. 52(8), pp. 5862–5862
Citations Over TimeTop 10% of 2011 papers
Carla Agurto, E Simon Barriga, Víctor Murray, Sheila C Nemeth, Robert Crammer, Wendall Bauman, Gilberto Zamora, Marios S. Pattichis, Peter Solíz
Abstract
A computer-aided algorithm was trained to detect different types of pathologic retinal conditions. The cases of hard exudates within 1 disc diameter (DD) of the fovea (surrogate for CSME) were detected with very high accuracy (sensitivity = 1, specificity = 0.50), whereas mild nonproliferative DR was the most challenging condition (sensitivity = 0.92, specificity = 0.50). The algorithm was also tested on images with signs of AMD, achieving a performance of AUC of 0.84 (sensitivity = 0.94, specificity = 0.50).
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