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- W3193524723 abstract "Image processing is now a trend for diagnosing diseases automatically with great level of accuracy. System requires images for processing through CT Scan, MRI, X-Ray and Fundus Imaging. Diabetic Retinopathy is a symptomatic illness which is very dangerous because it leads to permanent blindness that cannot be cured. A routine check-up can save rest vision that can be done either through medical professional or automatic diagnosis based system. If a patient is suffering from diabetes from a long time then that person pertains higher risk for retinopathy. Here the system uses Robert's Edge Detection technique for extracting impairments from fundus images. Fundus images are retinal images through which diabetic retinopathy can be detected. System also uses color correction method for highlighting the symptoms and enhances the accuracy. Robert's is a second order derivative that uses 2x2 kernels. The consequences of this activity will feature the progressions in power in an inclining bearing. Quite possibly the most engaging parts of this activity is its effortlessness; the piece is little and contains just whole numbers. Notwithstanding with the speed of computer today this benefit is insignificant and the Roberts cross experiences extraordinarily affectability to clamor. System achieved 93.00% of accuracy with minimal false acceptance rate." @default.
- W3193524723 created "2021-08-30" @default.
- W3193524723 creator A5015478458 @default.
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- W3193524723 date "2021-06-18" @default.
- W3193524723 modified "2023-09-26" @default.
- W3193524723 title "Automatic Diabetic Retinopathy Detection using Roberts Cross Edge Detection in DIP" @default.
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- W3193524723 doi "https://doi.org/10.1109/csnt51715.2021.9509675" @default.
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