Abstract
The diabetic maculopathy for the most part is classified as a pathological illness by scientists, which is fairly significant. One of the most serious effects of diabetes is this which is quite significant. High blood sugar levels in diabetes patients essentially have an effect on kind of several bodily components, including the retina in a big way. In the present research we for all intents and purposes detect a sort of diabetic maculopathy lesion which for the most part is exudates using Symlet4 and Haar wavelet and compare which wavelets give really good results, and we mostly got generally positive effects on the Haar wavelets and also using support vector machine classifier we got 95.7% good results.
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References
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Pattebahadur, C., Kadam, A.B., Kamble, A., Manza, R. (2024). Design Novel Detection of Exudates Using Wavelets Filter and Classification of Diabetic Maculopathy. In: Sharma, H., Shrivastava, V., Tripathi, A.K., Wang, L. (eds) Communication and Intelligent Systems. ICCIS 2023. Lecture Notes in Networks and Systems, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-97-2079-8_31
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DOI: https://doi.org/10.1007/978-981-97-2079-8_31
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