Deep learning detection of retinal detachment: Optical coherence tomography staging and estimation of duration of macular detachment
The machine learning models demonstrated strong performance in classifying RRD stages, macula status and duration based on OCT imaging. These findings highlight the potential of deep learning methods to support clinical decision-making and surgical planning in RRD management.
Authors
- Carsten Grohmann (ORCID: https://orcid.org/0000-0003-1382-1695)
- Martin S. Spitzer (ORCID: https://orcid.org/0000-0002-4588-1767)
- Inês Valente Lopes
- Vasyl Druchkiv (ORCID: https://orcid.org/0000-0002-6344-4480)
- Ansgar Beuse (ORCID: https://orcid.org/0000-0003-4562-0927)
- Christos Skevas (ORCID: https://orcid.org/0000-0003-3389-4840)
Institutions
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1371/journal.pone.0329951
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universitätsklinikum Hamburg-Eppendorf