Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities:A Survey

作     者：Xiao-Qing Zhang Yan Hu Zun-Jie Xiao Jian-Sheng Fang Risa Higashita Jiang Liu Xiao-Qing Zhang;Yan Hu;Zun-Jie Xiao;Jian-Sheng Fang;Risa Higashita;Jiang Liu

作者机构：Research Institute of Trustworthy Autonomous SystemsSouthern University of Science and TechnologyShenzhen 518055China Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Tomey CorporationNagoya 4510051Japan Cixi Institute of Biomedical EngineeringNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315300China Guangdong Provincial Key Laboratory of Brain-inspired Intelligent ComputationSouthern University of Science and TechnologyShenzhen 518055China 

出 版 物：《Machine Intelligence Research》 (机器智能研究（英文版）)

年 卷 期：2022年第19卷第3期

页      面：184-208页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 081104[工学-模式识别与智能系统] 08[工学] 100212[医学-眼科学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：supported by National Natural Science Foundation of China(No.8210072776) Guangdong Provincial Department of Education,China(No.2020ZD ZX3043) Guangdong Provincial Key Laboratory,China(No.2020B121201001) Shenzhen Natural Science Fund,China(No.JCYJ20200109140820699) the Stable Support Plan Program,China(No.20200925174052004) 

主　　题：Cataract classification and grading ophthalmic image machine learning deep learning 

摘      要：Cataracts are the leading cause of visual impairment and blindness *** the years,researchers have achieved significant progress in developing state-of-the-art machine learning techniques for automatic cataract classification and grading,aiming to prevent cataracts early and improve clinicians′diagnosis *** survey provides a comprehensive survey of recent advances in machine learning techniques for cataract classification/grading based on ophthalmic *** summarize existing literature from two research directions:conventional machine learning methods and deep learning *** survey also provides insights into existing works of both merits and *** addition,we discuss several challenges of automatic cataract classification/grading based on machine learning techniques and present possible solutions to these challenges for future research.