Automated quantification of lens epithelial cell density using deep learning: validation and large-scale clinical application
- DOI
- 10.1038/s41598-026-58748-9
- Published
- 2026-06-19
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-58748-9,
title = {Automated quantification of lens epithelial cell density using deep learning: validation and large-scale clinical application},
author = {Poramaporn Luangprasert and Chutimon Sindhuprama and Piyorod Srisawad and Sipat Triukose and Sirin Nitinawarat and Chaiwat Teekhasaenee and Apichat Tantraworasin and Praewpailin Kaimuk and Yanin Suwan},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-58748-9},
url = {https://doi.org/10.1038/s41598-026-58748-9}
}RIS
TY - JOUR TI - Automated quantification of lens epithelial cell density using deep learning: validation and large-scale clinical application AU - Poramaporn Luangprasert AU - Chutimon Sindhuprama AU - Piyorod Srisawad AU - Sipat Triukose AU - Sirin Nitinawarat AU - Chaiwat Teekhasaenee AU - Apichat Tantraworasin AU - Praewpailin Kaimuk AU - Yanin Suwan PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-58748-9 UR - https://doi.org/10.1038/s41598-026-58748-9 ER -
APA
Luangprasert, P., Sindhuprama, C., Srisawad, P., Triukose, S., Nitinawarat, S., Teekhasaenee, C., Tantraworasin, A., Kaimuk, P., & Suwan, Y. (2026). Automated quantification of lens epithelial cell density using deep learning: validation and large-scale clinical application. Scientific Reports. https://doi.org/10.1038/s41598-026-58748-9
Source records
- crossref · retrieved 2026-09-25T13:51:16.525Z