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A Global Review of Publicly Available Datasets Containing Fundus Images: Characteristics, Barriers to Access,
Tomasz Krzywicki1, Piotr Brona2, Agnieszka M Zbrzezny1,3
1Faculty of Mathematics and Computer Science, University of Warmia and Mazury, 10-710 Olsztyn, Poland.
Journal of Clinical Medicine
|May 27, 2023
Abstract:
This article provides a comprehensive and up-to-date overview of the repositories that contain color fundus images. We analyzed them regarding availability and legality, presented the datasets' characteristics, and identified labeled and unlabeled image sets. This study aimed to complete all publicly available color fundus image datasets to create a central catalog of available color fundus image datasets.

