Deep Learning for the Detection of Multiple Fundus Diseases Using Ultra-widefield Images

INTRODUCTION: To design and evaluate a deep learning model based on ultra-widefield images (UWFIs) that can detect several common fundus diseases. METHODS: Based on 4574 UWFIs, a deep learning model was trained and validated that can identify normal fundus and eight common fundus diseases, namely re...

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Detalles Bibliográficos
Autores principales: Sun, Gongpeng, Wang, Xiaoling, Xu, Lizhang, Li, Chang, Wang, Wenyu, Yi, Zuohuizi, Luo, Huijuan, Su, Yu, Zheng, Jian, Li, Zhiqing, Chen, Zhen, Zheng, Hongmei, Chen, Changzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011259/
https://www.ncbi.nlm.nih.gov/pubmed/36565376
http://dx.doi.org/10.1007/s40123-022-00627-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011259/
https://www.ncbi.nlm.nih.gov/pubmed/36565376
http://dx.doi.org/10.1007/s40123-022-00627-3

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