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Review

Ophthalmology Optical Coherence Tomography Databases for Artificial Intelligence Algorithm: A Review

, , , , , , , , , & show all
Pages 193-200 | Received 05 Oct 2023, Accepted 28 Dec 2023, Published online: 09 Feb 2024

Figures & data

Figure 1. Flow diagram of open OCT data collection.

Figure 1. Flow diagram of open OCT data collection.

Table 1. Open OCT datasets details.

Figure 2. Comparative Samples of OCT Imaging Technologies: A. Cirrus HD OCT from OCTID, B. Topcon 3D OCT-1000 from data on OCT and fundus images, C. Spectralis OCT by Heidelberg Engineering from labeled OCT and chest X-Ray images.

Figure 2. Comparative Samples of OCT Imaging Technologies: A. Cirrus HD OCT from OCTID, B. Topcon 3D OCT-1000 from data on OCT and fundus images, C. Spectralis OCT by Heidelberg Engineering from labeled OCT and chest X-Ray images.

Figure 3. Distribution of patients in the OCT datasets per country. Map created adapting naturalearth_lowres’s layer using (c) 2013–2022, GeoPandas developers, an open-source python package created under the liberal terms of the BSD-3-Clause license.Citation21.

Figure 3. Distribution of patients in the OCT datasets per country. Map created adapting naturalearth_lowres’s layer using (c) 2013–2022, GeoPandas developers, an open-source python package created under the liberal terms of the BSD-3-Clause license.Citation21.

Figure 4. Key components of the ideal OCT dataset.

Figure 4. Key components of the ideal OCT dataset.
Supplemental material

Supplemental Material

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