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

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

Abstract 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, na...

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Bibliographic Details
Main Authors: Gongpeng Sun, Xiaoling Wang, Lizhang Xu, Chang Li, Wenyu Wang, Zuohuizi Yi, Huijuan Luo, Yu Su, Jian Zheng, Zhiqing Li, Zhen Chen, Hongmei Zheng, Changzheng Chen
Format: Article
Language:English
Published: Adis, Springer Healthcare 2022-12-01
Series:Ophthalmology and Therapy
Subjects:
Ultra-widefield images
Deep learning
Fundus diseases
Artificial intelligence
Online Access:https://doi.org/10.1007/s40123-022-00627-3

Internet

https://doi.org/10.1007/s40123-022-00627-3

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