Imaging Features by Machine Learning for Quantification of Optic Disc Changes and Impact on Choroidal Thickness in Young Myopic Patients

Frontiers in Medicine

Yuchen Du¹  Huai Chen¹  Lisheng Wang¹  Menghan Li²  Dandan Sun²  Luyao Ye²  Jiangnan He²  Ying Fan²  Xun Xu²  Jianfeng Zhu²  Qiuying Chen² 

[1] Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China;National Clinical Research Center for Eye Diseases, Shanghai, China;Shanghai Key Laboratory of Ocular Fundus Disease, Shanghai, China;Shanghai Engineering Center for Visual Science and Photo Medicine, Shanghai, China;Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China;Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China;

关键词: myopia;    machine learning;    radiomics;    optic disc;    choroidal thickness;   

DOI  :  10.3389/fmed.2021.657566

来源: Frontiers

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