Clinical Trial: Deep Learning Assisted Epithelial Basement Membrane Dystrophy Detection
Study Status: Completed
Recruit Status: RECRUITING
Condition: Map Dot Fingerprint Dystrophy
Study Type: OBSERVATIONAL
Official Title: Automated Deep Learning for Detection of Epithelial Basement Membrane Dystrophy Using Optical Coherence Tomography and Longitudinal Reproducibility of Disease Characteristics
Brief Summary:
Epithelial basement membrane dystrophy, also known as Map-Dot fingerprint dystrophy or Cogan microcystic dystrophy, is a common bilateral dystrophy of the anterior human cornea.According to one study, it affects approximately 2% of the human population.A more recent study even reported basement membrane changes in 25% of the general population.However, due to its clinical and morphological appearance, the disease is probably often overlooked.Although epithelial basement membrane dystrophy is asymptomatic in many…
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