Real-world evaluation of RetCAD deep-learning system for the detection of referable diabetic retinopathy and age-related macular degeneration
RetCAD is comparable with but does not outperform equivalent deep-learning systems for retinal disease detection. RetCAD may be suitable as an automated screening tool in a rural Australian setting.
Authors
- Joshua R Taylor (ORCID: https://orcid.org/0000-0001-8659-5743)
- Angus Turner (ORCID: https://orcid.org/0000-0001-5949-7451)
- Jocelyn J. Drinkwater (ORCID: https://orcid.org/0000-0001-5155-5469)
- David Cordeiro Sousa (ORCID: https://orcid.org/0000-0002-7680-0325)
- Vaibhav Shah (ORCID: https://orcid.org/0009-0003-2058-1578)
Institutions
- Lions Eye Institute (AU)
- The University of Western Australia (AU)
- The Royal Victorian Eye & Ear Hospital (AU)
Publication Details
- Journal
- Clinical and Experimental Optometry
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1080/08164622.2024.2385565
- Citations
- 1
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.40