Role of Optical Coherence Tomography Imaging in Predicting Progression of Age-Related Macular Disease: A Survey

In developed countries, age-related macular degeneration (AMD), a retinal disease, is the main cause of vision loss in the elderly. Optical Coherence Tomography (OCT) is currently the gold standard for assessing individuals for initial AMD diagnosis. In this paper, we look at how OCT imaging can be used to diagnose AMD. Our main aim is to examine and compare automated computer-aided diagnostic (CAD) systems for diagnosing and grading of AMD. We provide a brief summary, outlining the main aspects of performance assessment and providing a basis for current research in AMD diagnosis. As a result, the only viable alternative is to prevent AMD and stop both this devastating eye condition and unwanted visual impairment. On the other hand, the grading of AMD is very important in order to detect early AMD and prevent patients from reaching advanced AMD disease. In light of this, we explore the remaining issues with automated systems for AMD detection based on OCT imaging, as well as potential directions for diagnosis and monitoring systems based on OCT imaging and telemedicine applications.

Automated summary

This paper investigates the diagnosis and grading of age-related macular degeneration (AMD), focusing on the use of Optical Coherence Tomography (OCT) and comparing automated computer-aided diagnostic (CAD) systems. The study emphasizes the importance of preventing AMD and the significance of grading for early detection and prevention of advanced disease. Further exploration of remaining issues with automated systems based on OCT imaging and potential directions for diagnostic and monitoring systems using OCT imaging and telemedicine applications is also discussed.