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Identification of different stages of Diabetic Retinopathy using artificial neural network

机译:利用人工神经网络识别糖尿病视网膜病变的不同阶段

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In this study, we recognize different stages of Diabetic Retinopathy (NPDR — Non Proliferative Diabetic Retinopathy and PDR — Proliferative Diabetic Retinopathy) and differentiate it from a normal eye with the study of fundus images. Features are extracted from these images and fed into the MLP (Multilayer Perceptron) for classification and the results have shown an accuracy of 94.11%.
机译:在这项研究中,我们认识到糖尿病性视网膜病变的不同阶段(NPDR-非增生性糖尿病性视网膜病变和PDR-增生性糖尿病性视网膜病变),并通过眼底图像研究将其与正常眼区分开。从这些图像中提取特征,并将其输入到MLP(多层感知器)中进行分类,结果显示出94.11%的准确性。

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