最先进的技术,挑战和计算机视觉在牙科图像中的新兴趋势
J Priya1, S Kanaga Suba Raja2, S Usha Kiruthika3
1ECE Department, Easwari Engineering College, Ramapuram, Chennai, Tamilnadu, India.
Computers in biology and medicine
|June 25, 2024
概括
计算机视觉,是一种人工智能,通过自动化分析X射线和扫描来帮助牙科成像. 这项技术有助于牙医检测异常,减少错误并提高诊断效率.
科学领域:
- 计算机视觉 计算机视觉 计算机视觉
- 人工智能的人工智能是人工智能.
- 牙科成像分析分析 牙科成像分析
背景情况:
- 手动解释牙科图像是复杂的,容易出现人为错误.
- 自动诊断可以加快解释和减少从业者的工作量.
- 牙科成像在正牙科和内牙科等专业领域至关重要.
研究的目的:
- 调查计算机视觉在牙科成像中的作用和进步.
- 详细介绍用于牙科诊断的各种计算机视觉技术.
- 识别牙科图像自动化分析当前的挑战和未来的方向.
主要方法:
- 复习计算机视觉技术,从经典的图像处理到深度学习.
- 在牙科放射分析中的应用分析.
- 解剖细分,识别和分类异常的方法的总结.
主要成果:
- 计算机视觉在牙科领域取得了显著的进化,包括机器学习和深度学习.
- 深度学习技术越来越多地用于复杂的牙科放射分析.
- 该研究概述了各种任务,包括异常检测和细分.
结论:
- 计算机视觉为提高牙科诊断的准确性和效率提供了巨大的潜力.
- 对深度学习架构的进一步研究对于推进自动化牙科图像分析至关重要.
- 解决目前的缺陷将为更强大的AI驱动的牙科护理铺平道路.
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