Automatic deep learning-based segmentation of cornea and lens in 2D OCT images of rabbit eyes.
- DOI
- 10.1016/j.exer.2026.110965
- Published
- 2026 Jun
- Container
- Experimental eye research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.exer.2026.110965,
title = {Automatic deep learning-based segmentation of cornea and lens in 2D OCT images of rabbit eyes.},
author = {De Martelaere W and Lv H and Li H and Liu X and Quan T and Zeng S and Chen S and Lv X},
year = {2026},
journal = {Experimental eye research},
doi = {10.1016/j.exer.2026.110965},
url = {https://doi.org/10.1016/j.exer.2026.110965}
}RIS
TY - JOUR TI - Automatic deep learning-based segmentation of cornea and lens in 2D OCT images of rabbit eyes. AU - De Martelaere W AU - Lv H AU - Li H AU - Liu X AU - Quan T AU - Zeng S AU - Chen S AU - Lv X PY - 2026 JO - Experimental eye research DO - 10.1016/j.exer.2026.110965 UR - https://doi.org/10.1016/j.exer.2026.110965 ER -
APA
W, D. M., H, L., H, L., X, L., T, Q., S, Z., S, C., & X, L. (2026). Automatic deep learning-based segmentation of cornea and lens in 2D OCT images of rabbit eyes.. Experimental eye research. https://doi.org/10.1016/j.exer.2026.110965
Source records
- pubmed · retrieved 2026-09-25T11:13:02.762Z