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

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 abno..... Read More