AI for Anterior Segment Disease Using Transfer Learning: Adapting Slit-Lamp-Trained Model for Analysis of Smartphone Corneal Images
- DOI
- 10.1167/tvst.15.7.24
- Published
- 2026-07-17
- Container
- Translational Vision Science & Technology
- Publisher
- Association for Research in Vision and Ophthalmology (ARVO)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1167/tvst.15.7.24,
title = {AI for Anterior Segment Disease Using Transfer Learning: Adapting Slit-Lamp-Trained Model for Analysis of Smartphone Corneal Images},
author = {Hiroki Maehara and Yuta Ueno and Masahiro Oda and Yoshikazu Ito and Yoshiyuki Kitaguchi and Dai Miyazaki and Ryohei Nejima and Takenori Inomata and Naoko Kato and Tai-ichiro Chikama and Jun Ominato and Tatsuya Yunoki and Kinya Tsubota and Manabu Suzutani and Kensaku Mori and Takefumi Yamaguchi and Tetsuro Oshika},
year = {2026},
journal = {Translational Vision Science \& Technology},
doi = {10.1167/tvst.15.7.24},
url = {https://doi.org/10.1167/tvst.15.7.24}
}RIS
TY - JOUR TI - AI for Anterior Segment Disease Using Transfer Learning: Adapting Slit-Lamp-Trained Model for Analysis of Smartphone Corneal Images AU - Hiroki Maehara AU - Yuta Ueno AU - Masahiro Oda AU - Yoshikazu Ito AU - Yoshiyuki Kitaguchi AU - Dai Miyazaki AU - Ryohei Nejima AU - Takenori Inomata AU - Naoko Kato AU - Tai-ichiro Chikama AU - Jun Ominato AU - Tatsuya Yunoki AU - Kinya Tsubota AU - Manabu Suzutani AU - Kensaku Mori AU - Takefumi Yamaguchi AU - Tetsuro Oshika PY - 2026 JO - Translational Vision Science & Technology DO - 10.1167/tvst.15.7.24 UR - https://doi.org/10.1167/tvst.15.7.24 ER -
APA
Maehara, H., Ueno, Y., Oda, M., Ito, Y., Kitaguchi, Y., Miyazaki, D., Nejima, R., Inomata, T., Kato, N., Chikama, T., Ominato, J., Yunoki, T., Tsubota, K., Suzutani, M., Mori, K., Yamaguchi, T., & Oshika, T. (2026). AI for Anterior Segment Disease Using Transfer Learning: Adapting Slit-Lamp-Trained Model for Analysis of Smartphone Corneal Images. Translational Vision Science & Technology. https://doi.org/10.1167/tvst.15.7.24
Source records
- crossref · retrieved 2026-09-25T18:09:11.266Z