Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography
- DOI
- 10.1097/opx.0000000000002208
- Published
- 2025-01
- Container
- Optometry and Vision Science
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/opx.0000000000002208,
title = {Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography},
author = {Charles Scales and John Bai and David Murakami and Joshua Young and Daniel Cheng and Preeya Gupta and Casey Claypool and Edward Holland and David Kading and Whitney Hauser and Leslie O'Dell and Eugene Osae and Caroline A. Blackie},
year = {2025},
journal = {Optometry and Vision Science},
doi = {10.1097/opx.0000000000002208},
url = {https://doi.org/10.1097/opx.0000000000002208}
}RIS
TY - JOUR TI - Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography AU - Charles Scales AU - John Bai AU - David Murakami AU - Joshua Young AU - Daniel Cheng AU - Preeya Gupta AU - Casey Claypool AU - Edward Holland AU - David Kading AU - Whitney Hauser AU - Leslie O'Dell AU - Eugene Osae AU - Caroline A. Blackie PY - 2025 JO - Optometry and Vision Science DO - 10.1097/opx.0000000000002208 UR - https://doi.org/10.1097/opx.0000000000002208 ER -
APA
Scales, C., Bai, J., Murakami, D., Young, J., Cheng, D., Gupta, P., Claypool, C., Holland, E., Kading, D., Hauser, W., O'Dell, L., Osae, E., & Blackie, C. A. (2025). Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography. Optometry and Vision Science. https://doi.org/10.1097/opx.0000000000002208
Source records
- crossref · retrieved 2026-09-27T03:49:15.403Z