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Updated: Jul 16, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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基于增强的卷积字典网络,具有适应窗口,用于低剂量CT无声化

Yi Liu1, Rongbiao Yan1, Yuhang Liu1

  • 1The State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan, China.

Journal of X-ray science and technology
|September 11, 2023
PubMed
概括

本研究介绍了一种可解释的深度学习方法,用于低剂量CT (LDCT) 无声化,通过抑制噪声来提高图像质量,同时保留关键细节. 这种新的方法在医学成像应用中显著提高了图像保真度.

关键词:
低剂量的CT图像适应式窗户 适应式窗户深度卷积式字典学习多个尺度的边缘提取.补丁级损失的补丁级损失

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