Publications by authors named "Dinesh Kumar Sah"
Article Synopsis
- Glaucoma is a progressive eye disease that can lead to permanent blindness, and the paper discusses a new automated diagnosis model that helps doctors quickly classify images as either showing glaucoma or being healthy.
- The model uses an innovative learning technique called fast discrete curvelet transform with wrapping (FDCT-WRP) to extract features from images, combined with principal component and linear discriminant analyses to streamline the data.
- The proposed classification algorithm, which merges modified pelican optimization with extreme learning machine (MOD-POA+ELM), demonstrated high accuracy rates of 93.25% and 96.75% on two standard datasets, while also employing various Explainable AI methods to ensure transparency in the diagnosis.
