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Updated: Jan 16, 2026

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埃里斯网:一种深度学习模型,用于CT图像中的降噪.

Fabio Mattiussi1, Francesco Magoga1, Andrea Cozzi1

  • 1Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.

Bioengineering (Basel, Switzerland)
|September 27, 2025
PubMed
概括

新的人工智能模型ErisNet显著降低了计算机断层扫描 (CT) 图像中的噪音. 这种人工智能工具提高了图像质量,并显示了低剂量扫描处理的前景.

关键词:
图像 图像 图像 图像 图像深度学习是一种深度学习.医学成像医学成像神经网络的神经网络的神经网络降低噪音 减少噪音

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Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
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