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[Macular edema in retinal fundus images by a computational algorithm].
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Consejo Nacional de Ciencia y Tecnología, Centro de Investigación en Matemáticas. Guanajuato, Guanajuato, México.
Background: Diabetes is a metabolic disease highly prevalent in our country that ends in disabling complications such as diabetic retinopathy and macular edema. As a high-impact socioeconomic issue, it is important to look for an early diagnostic test that also allows us to introduce a telemedicine service for the population with little access to specialized health services.
Objective: To describe the performance in discrimination of macular edema of a feature detection algorithm on retinal fundus images from diabetic patients.
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