数字健康中的视觉变压器架构和应用:教程和调查。

4区 计算机科学 Q1 Arts and Humanities
Khalid Al-Hammuri, Fayez Gebali, Awos Kanan, Ilamparithi Thirumarai Chelvan
{"title":"数字健康中的视觉变压器架构和应用:教程和调查。","authors":"Khalid Al-Hammuri,&nbsp;Fayez Gebali,&nbsp;Awos Kanan,&nbsp;Ilamparithi Thirumarai Chelvan","doi":"10.1186/s42492-023-00140-9","DOIUrl":null,"url":null,"abstract":"<p><p>The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that plays an important role in digital health applications. Medical images account for 90% of the data in digital medicine applications. This article discusses the core foundations of the ViT architecture and its digital health applications. These applications include image segmentation, classification, detection, prediction, reconstruction, synthesis, and telehealth such as report generation and security. This article also presents a roadmap for implementing the ViT in digital health systems and discusses its limitations and challenges.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333157/pdf/","citationCount":"2","resultStr":"{\"title\":\"Vision transformer architecture and applications in digital health: a tutorial and survey.\",\"authors\":\"Khalid Al-Hammuri,&nbsp;Fayez Gebali,&nbsp;Awos Kanan,&nbsp;Ilamparithi Thirumarai Chelvan\",\"doi\":\"10.1186/s42492-023-00140-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that plays an important role in digital health applications. Medical images account for 90% of the data in digital medicine applications. This article discusses the core foundations of the ViT architecture and its digital health applications. These applications include image segmentation, classification, detection, prediction, reconstruction, synthesis, and telehealth such as report generation and security. This article also presents a roadmap for implementing the ViT in digital health systems and discusses its limitations and challenges.</p>\",\"PeriodicalId\":52384,\"journal\":{\"name\":\"Visual Computing for Industry, Biomedicine, and Art\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333157/pdf/\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Visual Computing for Industry, Biomedicine, and Art\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1186/s42492-023-00140-9\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visual Computing for Industry, Biomedicine, and Art","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1186/s42492-023-00140-9","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 2

摘要

视觉变压器(ViT)是一种用于图像识别任务的最先进的架构,在数字健康应用中起着重要作用。医学图像占数字医学应用数据的90%。本文讨论了ViT体系结构及其数字健康应用程序的核心基础。这些应用包括图像分割、分类、检测、预测、重建、合成,以及报告生成和安全等远程医疗。本文还提出了在数字卫生系统中实施ViT的路线图,并讨论了其局限性和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Vision transformer architecture and applications in digital health: a tutorial and survey.

Vision transformer architecture and applications in digital health: a tutorial and survey.

Vision transformer architecture and applications in digital health: a tutorial and survey.

Vision transformer architecture and applications in digital health: a tutorial and survey.

The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that plays an important role in digital health applications. Medical images account for 90% of the data in digital medicine applications. This article discusses the core foundations of the ViT architecture and its digital health applications. These applications include image segmentation, classification, detection, prediction, reconstruction, synthesis, and telehealth such as report generation and security. This article also presents a roadmap for implementing the ViT in digital health systems and discusses its limitations and challenges.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信