Ptosis is a common ophthalmologic condition, and the diagnosis is primarily based on ocular appearance. The diagnosis of such conditions can be improved using emerging technology such as artificial intelligence-based methods. However, unified data collection and labeling standards have not yet been established. This directly impacts the accuracy of ptosis diagnosis based on appearance alone. Therefore, in the present study, we aimed to establish a procedure to obtain and label images to devise a recommendation system for optimal recognition of ptosis based on ocular appearances. This would help to standardize and facilitate data sharing and serve as a guideline for the development and improvisation of algorithms in artificial intelligence for ptosis.
基金：
Science and Technology Planning Projects of Guangdong Province [2018B010109008]; Na- tional Key R&D Program of China [2018YFC0116500]
第一作者机构：[1]Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou 510080, Guangdong, Peoples R China
通讯作者：
通讯机构：[1]Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou 510080, Guangdong, Peoples R China[*1]Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, Guangzhou 510623, Guangdong, Peoples R China
推荐引用方式(GB/T 7714)：
Meng Jie,Lin Binying,Li Dongmei,et al.Recommendation on data collection and annotation of ocular appearance images in ptosis[J].INTELLIGENT MEDICINE.2023,3(4):287-292.doi:10.1016/j.imed.2022.08.003.
APA：
Meng, Jie,Lin, Binying,Li, Dongmei,Hui, Shiqi,Liang, Xuanwei...&Medical Artificial Intelligence Branch of Guangdong Medical Association.(2023).Recommendation on data collection and annotation of ocular appearance images in ptosis.INTELLIGENT MEDICINE,3,(4)
MLA：
Meng, Jie,et al."Recommendation on data collection and annotation of ocular appearance images in ptosis".INTELLIGENT MEDICINE 3..4(2023):287-292
