Supervised Automated Kinetic Perimetry (SAKP) Using Simulated Visual Field Data – Presentation of a New Examination Technique
The SAKP algorithm presented here achieves a comparatively high degree of accuracy and robustness for actual, simulated visual field data within acceptable examination times. This algorithm is currently being prepared for application in real patient examinations under clinical conditions.
Authors
- Michael Wörner (ORCID: https://orcid.org/0000-0003-0528-8712)
- Ditta Zobor (ORCID: https://orcid.org/0000-0001-7187-5558)
- Ulrich Schiefer (ORCID: https://orcid.org/0000-0002-8266-2387)
Institutions
- Semmelweis University (HU)
- Hochschule Aalen (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- Klinische Monatsblätter für Augenheilkunde
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1055/a-2427-3556
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Eberhard Karls Universität Tübingen