A hybrid system integrating deep learning and computer vision for automated blink monitoring and tear film break-up pattern classification.
- DOI
- 10.1016/j.jtos.2026.04.011
- Published
- 2026-04-30
- Container
- Ocul Surf
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jtos.2026.04.011,
title = {A hybrid system integrating deep learning and computer vision for automated blink monitoring and tear film break-up pattern classification.},
author = {Li Y and Pan AP and Sun Y and Jin X and Yu AY.},
year = {2026},
journal = {Ocul Surf},
doi = {10.1016/j.jtos.2026.04.011},
url = {https://doi.org/10.1016/j.jtos.2026.04.011}
}RIS
TY - JOUR TI - A hybrid system integrating deep learning and computer vision for automated blink monitoring and tear film break-up pattern classification. AU - Li Y AU - Pan AP AU - Sun Y AU - Jin X AU - Yu AY. PY - 2026 JO - Ocul Surf DO - 10.1016/j.jtos.2026.04.011 UR - https://doi.org/10.1016/j.jtos.2026.04.011 ER -
APA
Y, L., AP, P., Y, S., X, J., & AY., Y. (2026). A hybrid system integrating deep learning and computer vision for automated blink monitoring and tear film break-up pattern classification.. Ocul Surf. https://doi.org/10.1016/j.jtos.2026.04.011
Source records
- europe-pmc · retrieved 2026-09-26T12:06:04.441Z