Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images

BACKGROUND: The aim of this study was to develop an intelligent system based on a deep learning algorithm for automatically diagnosing fungal keratitis (FK) in in vivo confocal microscopy (IVCM) images. METHODS: A total of 2,088 IVCM images were included in the training dataset. The positive group c...

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Detalles Bibliográficos
Autores principales: Lv, Jian, Zhang, Kai, Chen, Qing, Chen, Qi, Huang, Wei, Cui, Ling, Li, Min, Li, Jianyin, Chen, Lifei, Shen, Chaolan, Yang, Zhao, Bei, Yixuan, Li, Lanjian, Wu, Xiaohang, Zeng, Siming, Xu, Fan, Lin, Haotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article on Medical Artificial Intelligent Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327373/
https://www.ncbi.nlm.nih.gov/pubmed/32617326
http://dx.doi.org/10.21037/atm.2020.03.134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327373/
https://www.ncbi.nlm.nih.gov/pubmed/32617326
http://dx.doi.org/10.21037/atm.2020.03.134

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