Optical coherence tomography database

 Optical coherence tomography (OCT) is an emerging technology for performing high-resolution cross-sectional imaging. It utilizes the interferometry concept to create a cross-sectional map of the retina. OCT images are two-dimensional data sets that represent the optical backscattering in a cross-sectional plane through the tissue. OCT allows non-secondary visualization of various structures of the eye, including the retina, vitreous body, and choroid, and to detect pathological changes in them. The study of these images is essential for the diagnosis, treatment, and monitoring of various eye diseases.   The database consists of the following categories and images: Age-Related Macular Degeneration - 453 images;Diabetes - 76 images;Miopie - 31 images;Vitreomacular Interface Disease - 120 images;Norm - 112 images;Disinsertion - 4 images;Ischemia - 95 images.   This database is published to provide researchers and developers with access to a large set of labeled images, which contributes to the development and improvement of algorithms for the automatic processing and analysis of OCT images for early diagnosis and monitoring of eye diseases. The database will be updated periodically.