典型文献
Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities:A Survey
文献摘要：
Cataracts are the leading cause of visual impairment and blindness globally.Over the years,researchers have achieved sig-nificant 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 efficiency.This survey provides a comprehensive survey of recent advances in machine learning techniques for cataract classification/grading based on ophthalmic images.We summarize existing literature from two research directions:conventional machine learning methods and deep learning methods.This survey also provides insights into existing works of both merits and limitations.In 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.
文献关键词：
中图分类号：
作者姓名：
Xiao-Qing Zhang;Yan Hu;Zun-Jie Xiao;Jian-Sheng Fang;Risa Higashita;Jiang Liu
作者机构：
Research Institute of Trustworthy Autonomous Systems,Southern University of Science and Technology,Shenzhen 518055,China;Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen 518055,China;Tomey Corporation,Nagoya 4510051,Japan;Cixi Institute of Biomedical Engineering,Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo 315300,China;Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Southern University of Science and Technology,Shenzhen 518055,China
文献出处：
引用格式：
[1]Xiao-Qing Zhang;Yan Hu;Zun-Jie Xiao;Jian-Sheng Fang;Risa Higashita;Jiang Liu-.Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities:A Survey)[J].机器智能研究（英文）,2022(03):184-208
A类：
Cataract,Ophthalmic,Modalities,Cataracts,cataracts
B类：
Machine,Learning,Classification,Grading,Imaging,Survey,are,leading,cause,visual,impairment,blindness,globally,Over,years,researchers,have,achieved,nificant,progress,developing,state,art,machine,learning,techniques,automatic,classification,grading,aiming,prevent,early,improve,clinicians,diagnosis,efficiency,This,survey,provides,comprehensive,recent,advances,ophthalmic,images,We,summarize,existing,literature,from,two,directions,conventional,methods,deep,also,insights,into,works,both,merits,limitations,In,addition,we,discuss,several,challenges,present,possible,solutions,these,future
AB值：
0.583313
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
