SLOctolyzer: Fully Automatic Analysis Toolkit for Segmentation and Feature Extracting in Scanning Laser Ophthalmoscopy Images
SLO images are captured simultaneous to optical coherence tomography (OCT), and we believe SLOctolyzer will be useful for extracting retinal vascular measurements from large OCT image sets and linking them to ocular or systemic diseases.
Authors
- Ian J. C. MacCormick (ORCID: https://orcid.org/0000-0002-8171-0332)
- Justin Engelmann (ORCID: https://orcid.org/0000-0002-5345-6023)
- Jamie Burke (ORCID: https://orcid.org/0000-0001-8001-6819)
- Tom MacGillivray (ORCID: https://orcid.org/0000-0001-5120-0086)
- Charlene Hamid
- Stuart King (ORCID: https://orcid.org/0000-0002-4803-1602)
- Ylenia Giarratano (ORCID: https://orcid.org/0000-0002-1301-0879)
- Samuel Gibbon
- Adam Threlfall
Institutions
- MRC Centre for Regenerative Medicine (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1167/tvst.13.11.7
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Medical Research Council