Glaucoma Detection Using Computer Vision and Vision Transformers

Abstract

Vision is one of the gifts from nature to humans. It stores visual messages and signals to the brain. Glaucoma is a high-pressure genetic disorder that relates to the human eye. It is a chronic disease often called “silent -thief of sight” as it has no symptoms. Glaucoma is a major problem for the human eye, often caused by abnormally high pressure in the eye. It leads to damage to the optical nerve and causes blindness. This disease is considered an irreversible disease that results in vision loss. If it is not detected at an early stage, it may cause permanent blindness. There is no proper cure for glaucoma if it was identified at the last stage. Early detection of this disease is very important for providing correct treatment and minimizing vision loss. The common method used for diagnosing glaucoma is through the examination of an eye by an ophthalmologist. Manual glaucoma detection is costly and time-consuming. So, this works presents a very useful computer scientific method for glaucoma detection. In the proposed model Computer Vision (CV) and Vision Transformers (VIT) were used to identify whether the person is affected by glaucoma or not.