CoNV-AutoGrader: A Deep Learning System for Automated Severity Grading of Corneal Neovascularization From Slit-Lamp Images
- DOI
- 10.1167/tvst.15.11.10
- Published
- 2026-11-10
- Container
- Translational Vision Science & Technology
- Publisher
- Association for Research in Vision and Ophthalmology (ARVO)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1167/tvst.15.11.10,
title = {CoNV-AutoGrader: A Deep Learning System for Automated Severity Grading of Corneal Neovascularization From Slit-Lamp Images},
author = {Ruobing Xia and Junhao Xia and Zitao Liu and Chenhang Ding and He Xie and Jinyang Li and Haiou Wang and Wei Chen},
year = {2026},
journal = {Translational Vision Science \& Technology},
doi = {10.1167/tvst.15.11.10},
url = {https://doi.org/10.1167/tvst.15.11.10}
}RIS
TY - JOUR TI - CoNV-AutoGrader: A Deep Learning System for Automated Severity Grading of Corneal Neovascularization From Slit-Lamp Images AU - Ruobing Xia AU - Junhao Xia AU - Zitao Liu AU - Chenhang Ding AU - He Xie AU - Jinyang Li AU - Haiou Wang AU - Wei Chen PY - 2026 JO - Translational Vision Science & Technology DO - 10.1167/tvst.15.11.10 UR - https://doi.org/10.1167/tvst.15.11.10 ER -
APA
Xia, R., Xia, J., Liu, Z., Ding, C., Xie, H., Li, J., Wang, H., & Chen, W. (2026). CoNV-AutoGrader: A Deep Learning System for Automated Severity Grading of Corneal Neovascularization From Slit-Lamp Images. Translational Vision Science & Technology. https://doi.org/10.1167/tvst.15.11.10
Source records
- crossref · retrieved 2026-11-10T18:58:55.379Z