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- W2328828455 abstract "Glaucoma is a disease of the eye, characterized by increased Intraocular Pressure (IOP), excavation and atrophy of optic nerve. Without treatment, glaucoma can cause total permanent blindness. A technique for automated screening of glaucoma from retinal fundus images using wavelet features is presented in this paper. The discussed wavelet features such as mean and entropy values are obtained by using daubechies (db3) wavelet filter. Thus the features are validated by classifying the normal and glaucoma images using Artificial Neural Network (ANN). The performance is analysed with evaluation metrics in terms of accuracy and specificity. Thus the observed accuracy and specificity is 79% and 100% respectively." @default.
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- W2328828455 date "2014-01-01" @default.
- W2328828455 modified "2023-10-01" @default.
- W2328828455 title "An Enhanced Automated Diagnosis Method for Glaucoma Detection Using Wavelet" @default.
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- W2328828455 doi "https://doi.org/10.9790/2834-09362022" @default.
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