A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy
Our DL segmentation model achieved excellent sensitivity and acceptable specificity in distinguishing active from inactive PDR.
Authors
- Tünde Pető (ORCID: https://orcid.org/0000-0001-6265-0381)
- Jakob Grauslund (ORCID: https://orcid.org/0000-0001-5019-0736)
- Marianne Guldager Schou
- Yousif Subhi (ORCID: https://orcid.org/0000-0001-6620-5365)
- J. Andersen (ORCID: https://orcid.org/0000-0003-3238-868X)
- Christoffer Viuff Hedegaard
- Sebastian Dinesen (ORCID: https://orcid.org/0000-0002-7367-9398)
- Thiusius Rajeeth Savarimuthu (ORCID: https://orcid.org/0000-0002-2478-8694)
Institutions
- University of Copenhagen (DK)
- Queen's University Belfast (GB)
- University of Southern Denmark (DK)
- Maersk (Denmark) (DK)
- Odense University Hospital (DK)
- Rigshospitalet (DK)
Publication Details
- Journal
- Ophthalmology and Therapy
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1007/s40123-025-01127-w
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.08