Kumar, JRH and Seelamantula, CS and Gagan, JH and Kamath, YS and Kuzhuppilly, NIR and Vivekanand, U and Gupta, P and Patil, S (2023) Chákṣu: A glaucoma specific fundus image database. In: Scientific Data, 10 (1).
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Abstract
We introduce Chákṣu–a retinal fundus image database for the evaluation of computer-assisted glaucoma prescreening techniques. The database contains 1345 color fundus images acquired using three brands of commercially available fundus cameras. Each image is provided with the outlines for the optic disc (OD) and optic cup (OC) using smooth closed contours and a decision of normal versus glaucomatous by five expert ophthalmologists. In addition, segmentation ground-truths of the OD and OC are provided by fusing the expert annotations using the mean, median, majority, and Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm. The performance indices show that the ground-truth agreement with the experts is the best with STAPLE algorithm, followed by majority, median, and mean. The vertical, horizontal, and area cup-to-disc ratios are provided based on the expert annotations. Image-wise glaucoma decisions are also provided based on majority voting among the experts. Chákṣu is the largest Indian-ethnicity-specific fundus image database with expert annotations and would aid in the development of artificial intelligence based glaucoma diagnostics. © 2023, The Author(s).
| Item Type: | Journal Article |
|---|---|
| Publication: | Scientific Data |
| Publisher: | Nature Research |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Keywords: | algorithm; artificial intelligence; diagnostic imaging; eye fundus; glaucoma; human; optic disk, Algorithms; Artificial Intelligence; Fundus Oculi; Glaucoma; Humans; Optic Disk |
| Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
| Date Deposited: | 21 Feb 2023 05:17 |
| Last Modified: | 21 Feb 2023 05:17 |
| URI: | https://eprints.iisc.ac.in/id/eprint/80537 |
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