建筑
计算机科学
数字健康
远程医疗
变压器
人工智能
数字图像处理
数字图像
分割
远程医疗
数字成像
数据科学
医疗保健
多媒体
计算机视觉
计算机体系结构
图像处理
工程类
图像(数学)
电气工程
电压
经济
经济增长
艺术
视觉艺术
作者
Khalid Al-hammuri,Fayez Gebali,Awos Kanan,Ilamparithi Thirumarai Chelvan
标识
DOI:10.1186/s42492-023-00140-9
摘要
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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