Optical coherence tomography (OCT) is a non-invasive imaging modality which is widely used in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which is crucial for early diagnosis of retinal diseases. In this paper, we describe a comprehensive open-access database containing more than 500 highresolution images categorized into different pathological conditions. The image classes include Normal (NO), Macular Hole (MH), Age-related Macular Degeneration (AMD), Central Serous Retinopathy (CSR), and Diabetic Retinopathy (DR). The images were obtained from a raster scan protocol with a 2mm scan length and 512x1024 pixel resolution. We have also included 25 normal OCT images with their corresponding ground truth delineations which can be used for an accurate evaluation of OCT image segmentation. In addition, we have provided a user-friendly GUI which can be used by clinicians for manual (and semi-automated) segmentation.
@article{arxiv.1812.07056,
title = {OCTID: Optical Coherence Tomography Image Database},
author = {Peyman Gholami and Priyanka Roy and Mohana Kuppuswamy Parthasarathy and Vasudevan Lakshminarayanan},
journal= {arXiv preprint arXiv:1812.07056},
year = {2019}
}
Comments
This paper is linked to an open access Optical Coherence Tomography (OCT) image database which is avaiable at: https://dataverse.scholarsportal.info/dataverse/OCTID