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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Clinical Science
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

Internet

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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