Low Dose CT Noise Artifact Reduction Based on Multi-scale Weighted Convolutional Coding Network

Low dose computed tomography becomes increasingly important to alleviate X-ray radiation damage. However, low tube current or short exposure time scanning protocols often lead to degraded CT images with increased amplified spot noise and radial streak artifacts. In this paper, we aims to obtain high...

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Vydané v:	2021 7th International Conference on Systems and Informatics (ICSAI) s. 1 - 6
Hlavní autori:	Liu, Jin, Xia, Zhenyu, Kang, Yanqin, Qiang, Jun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 13.11.2021
Predmet:	Computed tomography Convolution Convolutional codes convolutional coding Deep learning Image coding learning reweighted low dose CT Magnetic resonance imaging multi-scale Ultrasonic imaging
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