Shading correction for volumetric CT using deep convolutional neural network and adaptive filter

BACKGROUND: Shading artifact may lead to CT number inaccuracy, image contrast loss and spatial non-uniformity (SNU), which is considered as one of the fundamental limitations for volumetric CT (VCT) application. To correct the shading artifact, a novel approach is proposed using deep learning and an...

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Detalles Bibliográficos
Publicado en:Quant Imaging Med Surg
Main Authors: Liang, Xiaokun, Li, Na, Zhang, Zhicheng, Yu, Shaode, Qin, Wenjian, Li, Yafen, Chen, Shupeng, Zhang, Huailing, Xie, Yaoqin
Formato: Artigo
Idioma:Inglês
Publicado: AME Publishing Company 2019
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Original Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6685805/
https://ncbi.nlm.nih.gov/pubmed/31448210
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims.2019.05.19
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