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About Diabetic Eye Disease Detection Using Machine Learning Techniques PDF
1) Diabetic retinopathy is an eye disease caused by diabetes that can lead to vision loss if not detected early. Current detection methods are manual, time-consuming, and lack automation. 2) The authors propose using machine learning techniques to analyze eye images to detect diabetic retinopathy in a more efficient and automated manner. Features like microaneurysms and exudates would be extracted from grayscale images to train a model. 3) The trained model would classify new eye images as either positive or negative for diabetic retinopathy to help detect the disease early and lower the risk of vision loss. This could help address the growing demand for detection as diabetes rates rise.
Detailed Information
| Author: | ['International Journal of Innovative Science and Research Technology '] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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