Automated multi-level pathology identification techniques for abnormal retinal images using artificial neural networks.

Abstract

AIM To automatically classify abnormal retinal images from four different categories using artificial neural networks with a high degree of accuracy in minimal time to assist the ophthalmologist in subsequent treatment planning. METHODS We used 420 abnormal retinal images from four different categories (non-proliferative diabetic retinopathy, central… (More)
DOI: 10.1136/bjophthalmol-2011-300032

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