Diagnosis of microbial keratitis using smartphone-captured images; a deep-learning model
The model exhibits practicality, especially with the ease of image acquisition using smartphones, making it applicable in diverse settings.
Authors
- Amir Rahdar (ORCID: https://orcid.org/0000-0002-4451-9395)
- Mohammad Soleimani (ORCID: https://orcid.org/0000-0002-6546-3546)
- Siamak Yousefi (ORCID: https://orcid.org/0000-0001-8633-5730)
- Albert Y. Cheung (ORCID: https://orcid.org/0000-0001-5546-6017)
- Mohamad Javad Ahmadi (ORCID: https://orcid.org/0000-0001-6047-1021)
- Kasra Cheraqpour (ORCID: https://orcid.org/0000-0002-1273-9166)
- Margarita De Alba
- I‐Te Lee (ORCID: https://orcid.org/0000-0003-2665-3635)
- Kosar Esmaili
- Artak Kirakosyan
- Mehdi Aminizade (ORCID: https://orcid.org/0000-0002-0307-7295)
- Nicholas Tomaras
- Natalia Quiroz-Casian
Institutions
- University of North Carolina at Chapel Hill (US)
- University of Tennessee Health Science Center (US)
- Illinois College (US)
- University of Illinois Chicago (US)
- Farabi Hospital (IR)
- Ophtalmological Center After S.V.Malayan (AM)
- Virginia Eye Consultants (US)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- Journal of Ophthalmic Inflammation and Infection
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1186/s12348-025-00465-x
- Citations
- 7
- Primary Topic
- Ocular Infections and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 11.95