Comparison between Deep-Learning-Based Ultra-Wide-Field Fundus Imaging and True-Colour Confocal Scanning for Diagnosing Glaucoma.
- DOI
- 10.3390/jcm11113168
- Published
- 2022 Jun 2
- Container
- Journal of clinical medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/jcm11113168,
title = {Comparison between Deep-Learning-Based Ultra-Wide-Field Fundus Imaging and True-Colour Confocal Scanning for Diagnosing Glaucoma.},
author = {Shin Y and Cho H and Shin YU and Seong M and Choi JW and Lee WJ},
year = {2022},
journal = {Journal of clinical medicine},
doi = {10.3390/jcm11113168},
url = {https://doi.org/10.3390/jcm11113168}
}RIS
TY - JOUR TI - Comparison between Deep-Learning-Based Ultra-Wide-Field Fundus Imaging and True-Colour Confocal Scanning for Diagnosing Glaucoma. AU - Shin Y AU - Cho H AU - Shin YU AU - Seong M AU - Choi JW AU - Lee WJ PY - 2022 JO - Journal of clinical medicine DO - 10.3390/jcm11113168 UR - https://doi.org/10.3390/jcm11113168 ER -
APA
Y, S., H, C., YU, S., M, S., JW, C., & WJ, L. (2022). Comparison between Deep-Learning-Based Ultra-Wide-Field Fundus Imaging and True-Colour Confocal Scanning for Diagnosing Glaucoma.. Journal of clinical medicine. https://doi.org/10.3390/jcm11113168
Source records
- pubmed · retrieved 2026-09-26T09:36:54.668Z