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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Quant Imaging Med Surg
Egile Nagusiak: Liang, Xiaokun, Li, Na, Zhang, Zhicheng, Yu, Shaode, Qin, Wenjian, Li, Yafen, Chen, Shupeng, Zhang, Huailing, Xie, Yaoqin
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: AME Publishing Company 2019
Gaiak:
Original Article
Sarrera elektronikoa: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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