Automated measurement of macular neovascularization lesion size in nAMD using AI segmentation
AI-based segmentation of HRM on OCT scans demonstrates strong overall agreement with manual MNV measurements, particularly on longitudinal assessments. Despite some AI-based overestimations occurring at baseline and some manual MNV underestimations during follow-up, measurements between both methods were highly comparable over time.
Authors
- J. Wolf (ORCID: https://orcid.org/0000-0002-0549-3831)
- Daniel Pauleikhoff (ORCID: https://orcid.org/0000-0003-3691-291X)
- Jens Schröter (ORCID: https://orcid.org/0000-0002-9240-5798)
- Laurenz Pauleikhoff (ORCID: https://orcid.org/0000-0001-7671-8391)
- Lukas Heine (ORCID: https://orcid.org/0009-0004-3405-0556)
- Anna Vahldiek
- Benja Vahldiek
- Michael Swora
- Lars Reissberg
Institutions
- RWI – Leibniz Institute for Economic Research (DE)
- Universität Hamburg (DE)
- University of Münster (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Essen University Hospital (DE)
- West German Heart and Vascular Center Essen (DE)
Publication Details
- Journal
- Graefe s Archive for Clinical and Experimental Ophthalmology
- Published
- 2025-11-17
- DOI
- https://doi.org/10.1007/s00417-025-07007-0
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universität Duisburg-Essen