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Updated: Jan 9, 2026

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使用YOLOv8深度学习模型对周围牙X射线进行分类

Archana Y Chaudhari1, Prajwal Birwadkar1, Sagar Joshi1

  • 1Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, India.

MethodsX
|December 9, 2025
PubMed
概括

这项研究使用增强超分辨率GAN (ESRGAN) 增强牙科X射线,并使用YOLOv8.8检测六种牙科疾病. 该管道提高了图像清晰度,并有助于自动化牙科评估,尽管一些条件仍然具有挑战性.

关键词:
牙科X射线 牙科X射线对象检测检测器可以检测物体.YOLOv8,深度学习模型,Periapical,对象分类,ESRGAN,深度学习模型

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