Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is paramount yet challenging, particularly in resource-limited settings. A novel, computer vision-based model for glaucoma screening using fundus images could enhance early and accurate disease detection.
| Authors | Chaurasia, AK; Liu, GS; Greatbatch, CJ; Gharahkhani, P; Craig, JE; Mackey, DA; MacGregor, S; Hewitt, AW |
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| Journal | Eye (London, England) |
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| Date | 5/12/2024 |
| Grant ID | GNT1150144 | Department of Health | National Health and Medical Research Council (NHMRC) |
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| URL | http://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038/s41433-024-03388-4 |