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Updated: Jan 11, 2026

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CBMNet:一个双重注意力增强的ConvNeXt模型,用于准确的G.V. 黑色类型I-III分类在口腔内外皮放射图中

Aneetta Joy Parathanath1, Manimaran A2

  • 1Department of Mathematics, School of Advanced Sciences, VIT-AP University, Amaravati, Andhra Pradesh, 522237, India.

Scientific reports
|November 10, 2025
PubMed
概括

这项研究介绍了CBMNet,一种人工智能模型,可以准确地分类牙损伤 (G.V. 黑色类别I-III) 使用X线图. 该模型的准确性超过92%,有助于早期发现和诊断这种常见的口腔疾病.

关键词:
注意力机制注意力机制这就是为什么CBAM是CBAM.接下来我们来谈谈一下.深度学习是一种深度学习.牙腐烂是一种牙腐烂.牙科诊断 牙科诊断 牙科诊断在口腔内和周围的X射线图.在MSAM中,MSAM是MSAM.粒子群集优化优化 粒子群集优化风格GAN2-ADA 的方式

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