Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning

BACKGROUND: The purpose of this study was to implement and evaluate a deep learning (DL) approach for automatically detecting shallow anterior chamber depth (ACD) from two-dimensional (2D) overview anterior segment photographs. METHODS: We trained a DL model using a dataset of anterior segment photo...

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Detalles Bibliográficos
Autores principales: Qian, Zhuyun, Xie, Xiaoling, Yang, Jianlong, Ye, Hongfei, Wang, Zhilei, Chen, Jili, Liu, Hui, Liang, Jianheng, Jiang, Lihong, Zheng, Ce, Chen, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457334/
https://www.ncbi.nlm.nih.gov/pubmed/34551738
http://dx.doi.org/10.1186/s12886-021-02104-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457334/
https://www.ncbi.nlm.nih.gov/pubmed/34551738
http://dx.doi.org/10.1186/s12886-021-02104-0

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