Analyzing fundus images to detect diabetic retinopathy (DR) using deep learning system in the Yangtze River delta region of China

BACKGROUND: This study aimed to establish and evaluate an artificial intelligence-based deep learning system (DLS) for automatic detection of diabetic retinopathy. This could be important in developing an advanced tele-screening system for diabetic retinopathy. METHODS: A DLS with a convolutional ne...

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Detalles Bibliográficos
Autores principales: Lu, Li, Ren, Peifang, Lu, Qianyi, Zhou, Enliang, Yu, Wangshu, Huang, Jiani, He, Xiaoying, Han, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940941/
https://www.ncbi.nlm.nih.gov/pubmed/33708853
http://dx.doi.org/10.21037/atm-20-3275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940941/
https://www.ncbi.nlm.nih.gov/pubmed/33708853
http://dx.doi.org/10.21037/atm-20-3275

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