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Vision transformer architecture and applications in digital health: a tutorial and survey
Khalid Al-Hammuri1, Fayez Gebali2, Awos Kanan3
1Electrical and Computer Engineering, University of Victoria, Victoria, V8W 2Y2, Canada. khalidalhammuri@uvic.ca.
Abstract:
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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