Detection on Glaucoma Using Neuro evolution of Augmenting Topology with Conventional Neural Network

Abstract

If glaucoma is not detected in its early stages, it can cause irreparable blindness. It is the second most prevalent cause of blindness in the eyes. The fundus camera is a modern imaging device that is used to examine the inside anatomy of the eye. Among the methods used to diagnose glaucoma include the retinal nerve fiber layer analyzer, the Topcon image net methodology, and optical coherence tomography. The optic cup to disc ratio is a useful tool for diagnosing glaucoma, despite its high cost and paucity of studies. The degree of glaucomatous damage is mostly determined by the appearance of the optic cup. The majority of the disc space is occupied by glaucoma as it advances and gets bigger. The diameter of the optical cup and the overall diameter of the optical disc are related by the ratio of the optical cup to the optical disc. The manual inspection of an optic disc and cup is time-consuming. Thus, a system for diagnosing glaucoma automatically is developed. Due to a genetic component, optic cupping can enlarge without glaucoma; so, the enlargement of the optic cup by itself is not indicative of the condition.