Predicting Optical Coherence Tomography-Derived High Myopia Grades From Fundus Photographs Using Deep Learning
- DOI
- 10.3389/fmed.2022.842680
- Published
- 2022-03-03
- Container
- Frontiers in Medicine
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2022.842680,
title = {Predicting Optical Coherence Tomography-Derived High Myopia Grades From Fundus Photographs Using Deep Learning},
author = {Zhenquan Wu and Wenjia Cai and Hai Xie and Shida Chen and Yanbing Wang and Baiying Lei and Yingfeng Zheng and Lin Lu},
year = {2022},
journal = {Frontiers in Medicine},
doi = {10.3389/fmed.2022.842680},
url = {https://doi.org/10.3389/fmed.2022.842680}
}RIS
TY - JOUR TI - Predicting Optical Coherence Tomography-Derived High Myopia Grades From Fundus Photographs Using Deep Learning AU - Zhenquan Wu AU - Wenjia Cai AU - Hai Xie AU - Shida Chen AU - Yanbing Wang AU - Baiying Lei AU - Yingfeng Zheng AU - Lin Lu PY - 2022 JO - Frontiers in Medicine DO - 10.3389/fmed.2022.842680 UR - https://doi.org/10.3389/fmed.2022.842680 ER -
APA
Wu, Z., Cai, W., Xie, H., Chen, S., Wang, Y., Lei, B., Zheng, Y., & Lu, L. (2022). Predicting Optical Coherence Tomography-Derived High Myopia Grades From Fundus Photographs Using Deep Learning. Frontiers in Medicine. https://doi.org/10.3389/fmed.2022.842680
Source records
- crossref · retrieved 2026-11-10T10:25:14.942Z