相关实验视频

Updated: May 9, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

11.9K

在光子计数探测器CT中改进了噪声降低,使用先前知识意识的代性否定神经网络

Shaojie Chang1, Jeffrey F Marsh1, Emily K Koons1

  • 1Mayo Clinic, Department of Radiology, Rochester, Minnesota, United States.

Journal of medical imaging (Bellingham, Wash.)
|May 27, 2024
PubMed
概括

一个新的深度学习网络,PKAID-Net,显著减少光子计数探测器CT虚拟单能图像中的噪声. 这种方法可以保持图像质量和细节,提高诊断准确度.

关键词:
冠状动脉计算机断层扫描血管图谱深度学习是一种深度学习.高分辨率的高分辨率解决方案降低噪音 减少噪音光子计数探测器CT CT预先提供信息.

更多相关视频

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores09:43

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Published on: October 31, 2013

13.5K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K

相关概念视频

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...