Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report
The application of this algorithm may help toward precise and automated tracking of iAMD-related lesion changes, which is crucial in clinical settings and multicenter longitudinal studies on iAMD.
Authors
- Adnan Tufail (ORCID: https://orcid.org/0000-0001-6131-7640)
- Frank Gerhard Holz (ORCID: https://orcid.org/0000-0001-8019-9272)
- Philippe Valmaggia (ORCID: https://orcid.org/0000-0003-2817-5630)
- Coen de Vente (ORCID: https://orcid.org/0000-0001-5908-8367)
- Caroline C. W. Klaver (ORCID: https://orcid.org/0000-0002-2355-5258)
- Marlene Saßmannshausen (ORCID: https://orcid.org/0000-0001-5265-4645)
- Mohammad Mainul Islam (ORCID: https://orcid.org/0000-0002-8308-4371)
- Carel B. Hoyng (ORCID: https://orcid.org/0000-0002-1358-5963)
- Clara I. Sánchez
- Steffen Schmitz‐Valckenberg
- Camiel J. F. Boon (ORCID: https://orcid.org/0000-0002-4625-6795)
Institutions
- Moorfields Eye Hospital NHS Foundation Trust (GB)
- Radboud University Nijmegen (NL)
- University of Basel (CH)
- University of Utah (US)
- University Hospital Bonn (DE)
- Leiden University Medical Center (NL)
- Erasmus MC (NL)
- Radboud University Medical Center (NL)
- Moorfields Eye Hospital (GB)
- Amsterdam University Medical Centers (NL)
- Institute of Molecular and Clinical Ophthalmology Basel (CH)
- University College London (GB)
- University of Amsterdam (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1167/tvst.13.9.11
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- European Commission
- Rheinische Friedrich-Wilhelms-Universität Bonn
- Medizinische Fakultät, Rheinische Friedrich-Wilhelms-Universität Bonn