MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096126 A) filed by Francis Xavier Engineering College on August 08, 2026, for Tender Guard An Automated Decision Support System For Fair Tender Evaluation.
Inventors include Mrs. Yasmin M; Mohamed Uwais M N; Mohideen Jumail M; and Nithish Prithiv P.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: Retinal diseases are one of the major causes of vision impairment and blindness across the world. Diseases such as Diabetic Retinopathy, Glaucoma, and Age-Related Macular Degeneration often develop slowly and may not show noticeable symptoms during the early stages. If these conditions are not detected and treated at the right time, they can lead to permanent vision loss. Therefore, early and accurate detection of retinal diseases is very important for protecting eye health. Traditional methods of retinal disease diagnosis rely on manual examination of fundus images by trained ophthalmologists. Although this approach is effective, it is time-consuming, requires expert knowledge, and is not easily accessible in rural or remote areas. In addition, the quality of retinal images may vary due to poor lighting or low-resolution cameras, which can reduce diagnostic accuracy. These challenges highlight the need for an automated and reliable retinal disease detection system. This project presents an Artificial Intelligence-based retinal disease detection system that automatically analyses retinal fundus images using deep learning techniques. The system first improves the quality of input images to enhance important retinal features such as blood vessels and lesions. To overcome the limitation of small and imbalanced datasets, the system also generates additional realistic retinal images for better model training. A hybrid deep learning model is then used to learn both fine details and overall retinal patterns, enabling accurate classification of multiple retinal diseases.
Disclaimer: Curated by HT Syndication.
