Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells.
- DOI
- 10.1117/1.jbo.25.9.092902
- Published
- 2020 Aug
- Container
- Journal of biomedical optics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1117/1.jbo.25.9.092902,
title = {Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells.},
author = {Canavesi C and Cogliati A and Hindman HB},
year = {2020},
journal = {Journal of biomedical optics},
doi = {10.1117/1.jbo.25.9.092902},
url = {https://doi.org/10.1117/1.jbo.25.9.092902}
}RIS
TY - JOUR TI - Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells. AU - Canavesi C AU - Cogliati A AU - Hindman HB PY - 2020 JO - Journal of biomedical optics DO - 10.1117/1.jbo.25.9.092902 UR - https://doi.org/10.1117/1.jbo.25.9.092902 ER -
APA
C, C., A, C., & HB, H. (2020). Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells.. Journal of biomedical optics. https://doi.org/10.1117/1.jbo.25.9.092902
Source records
- pubmed · retrieved 2026-09-26T17:10:39.355Z