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- W4295954142 abstract "Diabetes Mellitus (DM) gotten to be one of the key wellbeing problem in the current world scenario. Non proliferative diabetic retinopathy (NPDR) is an early stage of diabetes mellitus. People getting DM is seems to have tall hazard of many diseases such as heart diseases, kidney problems, stroke, eye problems and even damages in their internal organs. Human tongue contains many important features that helps medical practitioners to diagnose different diseases. The Support Vector Machine (SVM) algorithm is considered as the common algorithm used to classify the diabetic patient's tongue. In SVM, Data preprocessing and parameter optimization plays important role in the results. System trained with tongue images in terms of tongue color, geometry and texture features. If the image belongs to diabetic category, we are about to classify whether that is type -1 or type-2 based upon the complexity of the given image. The main motive to write this paper is to compare different machine learning methods and to give an idea about CNN with the concern of classification and segmentation process." @default.
- W4295954142 created "2022-09-16" @default.
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- W4295954142 date "2022-06-23" @default.
- W4295954142 modified "2023-09-26" @default.
- W4295954142 title "A Study On Diagnosis Of Diabetes Mellitus Based On Tongue Images With Various Methods" @default.
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- W4295954142 doi "https://doi.org/10.1109/ic3sis54991.2022.9885616" @default.
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