Geometric Self-Supervised Learning: A Novel AI Approach Towards Quantitative and Explainable Diabetic Retinopathy Detection
Our experiments demonstrate the feasibility of training a deep learning neural network for detecting and segmenting DR-related lesions without relying on their manual annotations.
Authors
- Oliver Beale (ORCID: https://orcid.org/0000-0001-8627-3963)
- Lucas Pu (ORCID: https://orcid.org/0009-0005-4506-7617)
- Xin Meng (ORCID: https://orcid.org/0000-0001-7239-801X)
Institutions
- University of Pittsburgh (US)
Publication Details
- Journal
- Bioengineering
- Published
- 2025-02-06
- DOI
- https://doi.org/10.3390/bioengineering12020157
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- National Institutes of Health