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Fully automated grading system for the evaluation of punctate epithelial erosions using deep neural networks
PURPOSE: The goal was to develop a fully automated grading system for the evaluation of punctate epithelial erosions (PEEs) using deep neural networks. METHODS: A fully automated system was developed to detect corneal position and grade staining severity given a corneal fluorescein staining image. T...
Autores principales: | Qu, Jing-Hao, Qin, Xiao-Ran, Li, Chen-Di, Peng, Rong-Mei, Xiao, Ge-Ge, Cheng, Jian, Gu, Shao-Feng, Wang, Hai-Kun, Hong, Jing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086304/ https://www.ncbi.nlm.nih.gov/pubmed/34670751 http://dx.doi.org/10.1136/bjophthalmol-2021-319755 |
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