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

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Intelligent medicine Pub Date : 2023-11-01 DOI:10.1016/j.imed.2022.08.003

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 Intelligence Branch of Guangdong Medical Association

{"title":"Recommendation on data collection and annotation of ocular appearance images in ptosis","authors":"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 Intelligence Branch of Guangdong Medical Association","doi":"10.1016/j.imed.2022.08.003","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":73400,"journal":{"name":"Intelligent medicine","volume":"3 4","pages":"Pages 287-292"},"PeriodicalIF":4.4000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667102622000730/pdfft?md5=2dab8965976e1c6ad9a1b60d39569c90&pid=1-s2.0-S2667102622000730-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667102622000730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文本刊更多论文

上睑下垂患者眼部外观影像资料收集及注释的建议

上睑下垂是一种常见的眼科疾病，诊断主要依据眼部外观。利用新兴技术（如基于人工智能的方法）可以改善此类疾病的诊断。然而，统一的数据收集和标记标准尚未建立。这直接影响了仅根据外观诊断上睑下垂的准确性。因此，在本研究中，我们旨在建立一套获取和标记图像的程序，从而设计出一套基于眼部外观的上睑下垂最佳识别推荐系统。这将有助于规范和促进数据共享，并为上睑下垂人工智能算法的开发和改进提供指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering

CiteScore

5.20

自引率

0.00%

发文量