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@article{172887,
        author = {Piyush Bhokre and Rahul Khandate and Shivam Rakhunde and Tanmay Sorte},
        title = {Study on Glaucoma Detection using Retinal Imaging},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {3035-3043},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172887},
        abstract = {Glaucoma, a leading cause of irreversible blindness, progresses without obvious symptoms, making early detection essential. This project focuses on developing an automated system that analyzes retinal images to classify them as glaucomatous or non-glaucomatous using machine learning techniques. By extracting key retinal features and leveraging a labeled dataset, the system aims to provide accurate and timely glaucoma detection. The solution will offer a user-friendly interface for easy integration into clinical workflows, enhancing diagnostic accuracy and supporting early intervention to prevent vision loss. ...},
        keywords = {Fundus Image, OCDR, CNN, U-NET, Deep Learning, Optical Detection, Image Processing, Diagnostic Solutions.},
        month = {April},
        }