Application of Deep Learning for Advanced Detection and Quantification of Drusen in Nonexudative AMD From Retinal Multispectral Imaging
Deep learning-assisted detection of drusen from multispectral retinal images will refine and improve clinical diagnosis of early nonexudative age-related macular degeneration.
Authors
- Felipe A. Murati
- Ankita Dey (ORCID: https://orcid.org/0000-0001-9750-9484)
- Emily Zhang (ORCID: https://orcid.org/0000-0002-8809-8473)
- Eung‐Joo Lee (ORCID: https://orcid.org/0000-0001-6386-8470)
- Igor Kozak (ORCID: https://orcid.org/0000-0003-1813-0017)
- Stephen H. Sinclair (ORCID: https://orcid.org/0000-0002-8994-3499)
- Andrii Stepura
- Nick Ribaric
Institutions
- Drexel University Elkins Park Campus (US)
- University of Arizona (US)
- Spectral Sciences (United States) (US)
- Sino Biological (China) (CN)
- Drexel University (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1167/tvst.14.11.35
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00