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医学成像中的变压器:一项调查
Fahad Shamshad1, Salman Khan2, Syed Waqas Zamir3
1MBZ University of Artificial Intelligence, Abu Dhabi, United Arab Emirates.
Medical image analysis
|June 14, 2023
概括
变压器正在彻底改变医学成像,比传统的卷积神经网络 (CNN) 提供了更好的全球上下文理解. 本次调查回顾了它们在该领域的多样化应用,挑战和未来方向.
科学领域:
- 人工智能的人工智能
- 医学成像分析 医学成像分析
- 计算机视觉 计算机视觉
背景情况:
- 变压器在自然语言处理和计算机视觉方面取得了最先进的结果.
- 它们捕捉全球背景的能力优于卷积神经网络 (CNN) 的本地受体场.
- 这导致人们对将变压器应用于医学成像任务的兴趣日益增加.
研究的目的:
- 为医疗成像中变压器应用提供全面的审查.
- 涵盖建筑设计,具体任务,挑战和未来方向.
- 为该领域的研究人员提供最新的参考资料.
主要方法:
- 在医学成像中对变压器进行现有文献的调查.
- 将应用程序分类,包括细分,检测,分类,恢复,合成,注册和报告生成.
- 分析挑战,趋势和未来的研究途径.
主要成果:
- 变压器已成功应用于各种医学成像任务,显示出显著的潜力.
- 确定了每个应用程序的关键挑战和趋势.
- 提供了对该领域当前状况和未来前景的批判性讨论.
结论:
- 变压器代表了医学成像分析的重大进步.
- 解决已识别的挑战将进一步释放它们的潜力.
- 这项调查为未来的研发提供了路线图.
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