Explainable Deep Learning for Glaucomatous Visual Field Prediction: Artifact Correction Enhances Transformer Models
Our approach offers a comprehensive tool for glaucoma management, facilitates the exploration of structure-function correlations in research, and underscores the importance of addressing artifacts in the clinical interpretation of OCT.
Authors
- Chanon Puttanawarut (ORCID: https://orcid.org/0009-0005-3136-2295)
- Yanin Suwan (ORCID: https://orcid.org/0000-0001-6212-5966)
- Titipat Achakulvisut (ORCID: https://orcid.org/0000-0002-2124-2979)
- Kornchanok Sriwatana
Institutions
- Mahidol University (TH)
- Ramathibodi Hospital (TH)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-01-23
- DOI
- https://doi.org/10.1167/tvst.14.1.22
- Citations
- 2
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.41
Funders
- Mahidol University