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 Visual Computing for Industry, Biomedicine, and Art Pub Date : 2023-07-10 DOI:10.1186/s42492-023-00140-9
Khalid Al-Hammuri, Fayez Gebali, Awos Kanan, Ilamparithi Thirumarai Chelvan
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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。

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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.

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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
期刊最新文献
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