摘要
人工智能(artificial intelligence,AI)在白内障检测和分级中有较多应用,目前主要有基于裂隙灯照片和彩色眼底照片两种白内障检测和分级方法。同时,多种算法模型可获取白内障患者的晶状体特征,以得到更加准确的诊断和分级结果,如支持向量机回归模型、组稀疏回归模型、卷积-递归神经网络模型、深度卷积神经网络模型等。(国际眼科纵览,2021,45:231-236)
Artificial intelligence(AI)has been widely used in cataract detection and classification.At present,there are mainly two cataract detection and classification methods based on slit lamp photos and color fundus photos.At the same time,a variety of algorithm models can obtain the lens features of cataract patients to get more accurate diagnosis and grading results,such as support vector machine regression model,group sparse regression model,convolution recurrent neural network model,deep convolution neural network model and so on.(Int Rev Ophthalmol,2021,45:231-236)
作者
陈淑莹
王开杰
万修华
Chen Shuying;Wang Kaijie;Wan Xiuhua(Beijing Institute of Ophthalmology,Beijing Tongren Eye Center,Beijing Tongren Hospital,Capital Medical University,Beijing Key Laboratory of Ophthalmology and Visual Sciences,Beijing 100005,China)
出处
《国际眼科纵览》
2021年第3期231-236,共6页
International Review of Ophthalmology
基金
北京市科技计划课题(Z191100002019013)。
关键词
人工智能
白内障
检测
分级
artificial intelligence
cataract
detection
classification
