A New Logic for Diabetes Mellitus and Npdr Detection Using Texture, Geometry and Colour Features of Tongue
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چکیده
Diabetes mellitus(DM) and non proliferative diabetic retinopathy(NPDR) are one of the serious health care issues today. It creates various financial problems to our health care departments.This paper suggests a technique for classifying DM,NPDR and healthy samples in a non invasive manner.Initially, tongue images are obtained using a capture device.Images are preprocessd which involves color space conversion and region based segmentation.Then color,texture and geometry features are extracted.Applying a combination of all these features fuzzy logic can be used to classify healthy/DM tongues and healthy/NPDR tongues.
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An Efficient Classification for Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy by using PSVM Classifiers
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