Published Paper Details:

Glaucoma is generally the result of an increase in intraocular pressure, which leads to progressive damage to the optic nerve. This manifests as a gradual loss of visual field, beginning with a decrease in lateral vision, to finally lose all vision. Since vision loss from glaucoma cannot be reversed, the diagnosis and early treatment is essential to preserve both the visual field and quality of life. Glaucoma usually develops slowly over time without pain nor acute attacks, so the lack of clear symptoms makes it difficult to detect and detect the glaucoma through regular eye exams. As glaucoma progresses, there will be a further pathological cupping of the optic disc due to changes in the optic nerve. To diagnose the same, the proposed model in this scheme algorithm is good enough to identify Glaucoma based on images by training at 40 epochs and effectively achieving a validation accuracy of 96.65%. This result is quite good and model is successful to achieve the results for Glaucoma detection