OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Kulyabin M, Zhdanov A, Nikiforova A, Stepichev A, Kuznetsova A, Ronkin M, Borisov V, Bogachev A, Korotkich S, Constable P, Maier A (2024)
Publication Type: Journal article, Original article
Publication year: 2024
Journal
Article Number: 365
Journal Issue: 11
URI: https://www.nature.com/articles/s41597-024-03182-7
DOI: 10.1038/s41597-024-03182-7
Open Access Link: https://doi.org/10.1038/s41597-024-03182-7
Abstract
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. This work presents an open-access OCT dataset (OCTDL) comprising over 2000 OCT images labeled according to disease group and retinal pathology. The dataset consists of OCT records of patients with Age-related Macular Degeneration (AMD), Diabetic Macular Edema (DME), Epiretinal Membrane (ERM), Retinal Artery Occlusion (RAO), Retinal Vein Occlusion (RVO), and Vitreomacular Interface Disease (VID). The images were acquired with an Optovue Avanti RTVue XR using raster scanning protocols with dynamic scan length and image resolution. Each retinal b-scan was acquired by centering on the fovea and interpreted and cataloged by an experienced retinal specialist. In this work, we applied Deep Learning classification techniques to this new open-access dataset.
Authors with CRIS profile
Mikhail Kulyabin
Lehrstuhl für Informatik 5 (Mustererkennung)
Andreas Maier
Lehrstuhl für Informatik 5 (Mustererkennung)
Involved external institutions
Ural Federal University B.N. Yeltsin
Russian Federation (RU)
Ural State Medical University
Russian Federation (RU)
Flinders University
Australia (AU)
Russian Federation (RU)
Ural State Medical University
Russian Federation (RU)
Flinders University
Australia (AU)
How to cite
APA:
Kulyabin, M., Zhdanov, A., Nikiforova, A., Stepichev, A., Kuznetsova, A., Ronkin, M.,... Maier, A. (2024). OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods. Scientific Data, 11. https://dx.doi.org/10.1038/s41597-024-03182-7
MLA:
Kulyabin, Mikhail, et al. "OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods." Scientific Data 11 (2024).
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