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- W2107569086 abstract "Diabetic retinopathy (DR) is the leading cause of blindness. DR results in retinal disorders that include: microaneurysms, drusens, hard exudates and intra-retinal micro-vascular abnormalities (IRMA). The early signs of DR are depicted by microaneurysms among other signs. A prompt diagnosis when the disease is at the early stage can help prevent irreversible damages to the diabetic eye. This paper presents a decision support framework for automated screening of early signs of DR and classification schemes for deducing the presence or absence of microaneurysms are developed and tested under a univariate environment. The detection rule is based on binary hypothesis testing problem which simplifies the problem to yes/no decisions. An analysis of the performance of the Bayes optimality criteria is also presented in the paper." @default.
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- W2107569086 date "2005-03-31" @default.
- W2107569086 modified "2023-09-24" @default.
- W2107569086 title "Decision support for automated screening of diabetic retinopathy" @default.
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- W2107569086 doi "https://doi.org/10.1109/acssc.2004.1399433" @default.
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