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Updated: Jul 27, 2025

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通过RGB叠加方法和2D卷积神经网络在腹部CT扫描中提高疾病分类:尾炎和尾炎的研究

Gi Pyo Lee1, So Hyun Park2, Young Jae Kim3

  • 1Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon, Republic of Korea.

Computational and mathematical methods in medicine
|June 7, 2023
PubMed
概括

诊断尾炎和尾炎是具有挑战性的,即使在CT扫描中,也经常导致误诊. 使用RGB频道叠加图像的新深度学习方法提高了诊断准确性,为3D CNNs提供了更有效的替代方案.

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