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 an...

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Bibliographic Details
Published in:Visual computing for industry, biomedicine and art biomedicine and art, 2023-07, Vol.6 (1), p.14-14, Article 14
Main Authors: Al-hammuri, Khalid, Gebali, Fayez, Kanan, Awos, Chelvan, Ilamparithi Thirumarai
Format: Article
Language:English
Subjects:
Artificial intelligence
CAE) and Design
Computer engineering
Computer Graphics
Computer Imaging
Computer Science
Computer-Aided Engineering (CAD
Coronaviruses
COVID-19
Digital health
Digital imaging
Image classification
Image Processing and Computer Vision
Image reconstruction
Image segmentation
Machine learning
Media Design
Medical imaging
Neural networks
Pattern Recognition and Graphics
Review
Telehealth
Telemedicine
Vision
Vision transformer
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Summary: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.
ISSN:2524-4442
2096-496X
2524-4442
DOI:10.1186/s42492-023-00140-9