Abstract
Age-related macular degeneration (AMD) is an eye disease that can cause visual impairment and affects the elderly over 50 years of age. AMD is characterized by the presence of drusen, which causes changes in the physiological structure of the retinal pigment epithelium (RPE) and the boundaries of the Bruch’s membrane layer (BM). Optical coherence tomography is one of the main exams for the detection and monitoring of AMD, which seeks changes through the evaluation of successive sectional cuts in the search for morphological changes caused by drusen. The use of CAD (Computer-Aided Detection) systems has contributed to increasing the chances of correct detection, assisting specialists in diagnosing and monitoring disease. Thus, the objective of this work is to present a method for the segmentation of the inner limiting membrane (ILM), retinal pigment epithelium, and Bruch’s membrane in OCT images of healthy and Intermediate AMD patients. The method uses two deep neural networks, U-Net and DexiNed to perform the segmentation. The results were promising, reaching an average absolute error of 0.49 pixel for ILM, 0.57 for RPE, and 0.66 for BM.
Highlights
According to data from World Health Organization [1], it is estimated that at least 2.2 billion people have visual impairment or blindness, of which at least 1 billion have some visual impairment that could have been avoided or has not yet been addressed
Diagnosis of age-related macular degeneration is very important as it is an eye disease that can cause visual impairment and blindness
One of the main characteristics of the disease is the formation of druses, which cause deformations in the retina between the layers of the retinal pigment epithelium and the Bruch’s membrane
Summary
According to data from World Health Organization [1], it is estimated that at least 2.2 billion people have visual impairment or blindness, of which at least 1 billion have some visual impairment that could have been avoided or has not yet been addressed. The five leading causes of blindness are: uncorrected refractive errors, cataracts, age-related macular degeneration, glaucoma, and diabetic retinopathy. Age-related macular degeneration (AMD) is an eye disease that affects people over 50, being one of the main causes of visual impairment in elderly patients [2]. There was no additional external funding received for this study
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