This paper discusses numerous methods for glaucoma detection. Because of
its impact on the optic nerve and the loss of ganglion cells, which eventually results in
vision loss, glaucoma has emerged as the leading cause of blindness worldwide. In this
article, we provide a few methods for recognizing glaucoma in its earliest stages, which
can prevent irreversible damage to a person's vision. We explore ROI (region of
interest), optic cup and disc ratio, LSACM, and LSACM-SP techniques in this
research, all of which help us achieve significant segmentation results. The
development of diagnostic methods for several eye illnesses began with the discovery
of the “optical disc (OD)”. To produce circular OD milestones, this methodology
rounds extrinsic morphology and detecting methodologies. The OD's pixels must be
provided as raw data. To achieve this, a methodology based on the chosen voting
method is devised.
Keywords: Connected and autonomous vehicles (CAVs), Cyber security, Federated learning, Vehicular networks.
