Knowledge Commons of Institute of Automation,CAS
Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey | |
Xiao-Qing Zhang1,2; Yan Hu1,2; Zun-Jie Xiao1; Jian-Sheng Fang1; Risa Higashita1,3; Jiang Liu1,2,4,5 | |
发表期刊 | Machine Intelligence Research |
ISSN | 2731-538X |
2022 | |
卷号 | 19期号:3页码:184-208 |
摘要 | Cataracts are the leading cause of visual impairment and blindness globally. Over 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 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. |
关键词 | Cataract, classification and grading ophthalmic image machine learning deep learning |
DOI | 10.1007/s11633-022-1329-0 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/Q5LIdm8M0xNsNjwChphQaw |
视频解析 | https://www.bilibili.com/video/BV1Z14y1h7eJ/ |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55941 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen 518055, China 2.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China 3.Tomey Corporation, Nagoya 4510051, Japan 4.Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315300, China 5.Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology, Shenzhen 518055, China. |
推荐引用方式 GB/T 7714 | Xiao-Qing Zhang,Yan Hu,Zun-Jie Xiao,et al. Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey[J]. Machine Intelligence Research,2022,19(3):184-208. |
APA | Xiao-Qing Zhang,Yan Hu,Zun-Jie Xiao,Jian-Sheng Fang,Risa Higashita,&Jiang Liu.(2022).Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey.Machine Intelligence Research,19(3),184-208. |
MLA | Xiao-Qing Zhang,et al."Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey".Machine Intelligence Research 19.3(2022):184-208. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2022-01-012.pdf(3409KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论