Recommendation on data collection and annotation of ocular appearance images in ptosis  

作　　者：Jie Meng Binying Lin Dongmei Li Shiqi Hui Xuanwei Liang Xianchai Lin Zhen Mao Xingyi Li Zuohong Li Rongxin Chen Yahan Yang Ruiyang Li Anqi Yan Haotian Lin Danping Huang Chinese Association of Artificial Intelligence,Medical Artificial IntelligenceBranch of Guangdong Medical Association 

机构地区：[1]Zhongshan Ophthalmic Center,Sun Yat-sen University,State Key Laboratory of Ophthalmology,Guangzhou,Guangdong 510080,China [2]Beijing Tongren Eye Center,Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment,Beijing Ophthalmology&Visual Sciences Key Lab,MedicalArtificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology,Beijing Tongren Hospital,Capital MedicalUniversity,Beijing 100730,China [3]Zhongshan School of Medicine,Sun Yat-sen University,Guangzhou,Guangdong 510080,China

出　　处：《Intelligent Medicine》2023年第4期287-292,共6页智慧医学（英文）

基　　金：The study was supported by Science and Technology PlanningProjects of Guangdong Province(Grant No.2018B010109008);National Key R&D Program of China(Grant No.2018YFC0116500).

摘　　要：Ptosis is a common ophthalmologic condition,and the diagnosis is primarily based on ocular appearance.Thediagnosis of such conditions can be improved using emerging technology such as artificial intelligence-basedmethods.However,unified data collection and labeling standards have not yet been established.This directlyimpacts the accuracy of ptosis diagnosis based on appearance alone.Therefore,in the present study,we aimedto establish a procedure to obtain and label images to devise a recommendation system for optimal recognitionof ptosis based on ocular appearances.This would help to standardize and facilitate data sharing and serve as aguideline for the development and improvisation of algorithms in artificial intelligence for ptosis.

关 键 词：PTOSIS Ocular appearance image Annotation standard Artificial intelligence 

分 类 号：R77[医药卫生—眼科] TP18[医药卫生—临床医学]