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Updated: Feb 14, 2026

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一个混合深度学习框架,用于自动化从X射线图像中诊断牙科疾病

A A Abd El-Aziz1, Mohammed Elmogy2, Mahmood A Mahmood1

  • 1Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi Arabia.

Journal of clinical medicine
|February 13, 2026
PubMed
概括

一个新的深度学习模型使用混合特征融合精确诊断X射线的牙疾病. 这种人工智能方法提高了诊断精度和可访问性,以获得更好的患者结果.

关键词:
深度学习是一种深度学习.牙疾病 牙疾病面向梯度的直径图. 面向梯度的直径图长期短期记忆 长期短期记忆放射学X射线X射线的X射线转移窗户变压器转移窗户变压器

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