摘要
光学相干断层扫描(OCT)分辨率高且无创,是临床诊断眼底疾病的主要手段。深度学习(DL)具有高效、准确的特点,近年来在医疗领域迅速发展,并已在眼科取得一定成果。本文围绕基于DL的OCT辅助诊断常见眼底疾病研究进展进行综述。
Being non-invasive and with high-resolution,optical coherence tomography(OCT)has become the mainstream imaging technology for clinical diagnosis of fundus diseases.Characterized by high efficiency and accuracy,deep learning(DL)has developed rapidly in medical field in recent years,and has made some achievements in the field of ophthalmology.The research progresses of OCT based on DL for assisting diagnosis of common fundus diseases were reviewed in this paper.
作者
何佳雯
王莉菲
张如如
谭玲
刘毓
王晴川
陈正宇
范家伟
鄂海红
宋美娜
HE Jiawen;WANG Lifei;ZHANG Ruru;TAN Ling;LIU Yu;WANG Qingchuan;CHEN Zhengyu;FAN Jiawei;E Haihong;SONG Meina(School of Computer Science,Beijing University of Posts and Telecommunications,Beijing 100876,China;Education Department Information Network Engineering Research Center,Beijing 100876,China;Department of Ocular Fundus Surgery,Hebei Eye Hospital,Xingtai 054001,China)
出处
《中国医学影像技术》
CSCD
北大核心
2021年第8期1229-1233,共5页
Chinese Journal of Medical Imaging Technology
基金
国家自然科学基金(61902034)
教育部信息网络工程研究中心资助项目。
关键词
眼底
人工智能
体层摄影术
光学相干
fundus oculi
artificial intelligence
tomography,optical coherence
