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Updated: Jan 15, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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CSCST-Net:一个完全稀疏调节的卷积稀疏编码网络,用于低剂量CT无声化

Jinxin Luo1,2, Yi Liu1,2, Tao Wang1,2

  • 1State Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan, 030051, Shanxi, People's Republic of China.

Biomedical physics & engineering express
|October 15, 2025
PubMed
概括

这项研究引入了一种新的可解释的深度学习模型,用于低剂量计算机断层扫描 (LDCT) 测试. CSC-ST模型通过有效消除噪音和保存细节来提高图像质量.

关键词:
在这个问题上,ADMMMM是ADMM.卷积稀疏编码 卷积稀疏编码低剂量的CT消噪剂稀疏规范化的稀疏规范化的

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