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Yingying An
Researcher at Xidian University
Publications - 3
Citations - 366
Yingying An is an academic researcher from Xidian University. The author has contributed to research in topics: Deep learning & Support vector machine. The author has an hindex of 3, co-authored 3 publications receiving 282 citations.
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Journal ArticleDOI
An artificial intelligence platform for the multihospital collaborative management of congenital cataracts
Erping Long,Haotian Lin,Zhenzhen Liu,Xiaohang Wu,Liming Wang,Jiewei Jiang,Yingying An,Zhuoling Lin,Xiaoyan Li,Jingjing Chen,Jing Li,Qianzhong Cao,Dongni Wang,Xiyang Liu,Weirong Chen,Yizhi Liu +15 more
TL;DR: It is shown that an AI agent using deep learning, and involving convolutional neural networks for diagnostics, risk stratification and treatment suggestions, accurately diagnoses and provides treatment decisions for congenital cataracts in an in silico test, a website-based study, in a ‘finding a needle in a haystack’ test and in a multihospital clinical trial.
Journal ArticleDOI
Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network
Xiyang Liu,Jiewei Jiang,Kai Zhang,Erping Long,Jiangtao Cui,Mingmin Zhu,Yingying An,Jia Zhang,Zhenzhen Liu,Zhuoling Lin,Xiaoyan Li,Jingjing Chen,Qianzhong Cao,Jing Li,Xiaohang Wu,Dongni Wang,Haotian Lin +16 more
TL;DR: A computer vision-based framework for the automatic localization and diagnosis of slit-lamp images by identifying the lens region of interest (ROI) and employing a deep learning convolutional neural network (CNN).
Journal ArticleDOI
Comparative analysis of image classification methods for automatic diagnosis of ophthalmic images
Liming Wang,Kai Zhang,Xiyang Liu,Erping Long,Jiewei Jiang,Yingying An,Jia Zhang,Zhenzhen Liu,Zhuoling Lin,Xiaoyan Li,Jingjing Chen,Qianzhong Cao,Jing Li,Xiaohang Wu,Dongni Wang,Wangting Li,Haotian Lin +16 more
TL;DR: This comparative study reveals the general characteristics of the existing methods for automatic identification of ophthalmic images and provides new insights into the strengths and shortcomings of these methods.