Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network

BACKGROUND: Low-dose computed tomography (LDCT) scans can effectively reduce the radiation damage to patients, but this is highly detrimental to CT image quality. Deep convolutional neural networks (CNNs) have shown their potential in improving LDCT image quality. However, the conventional CNN-based...

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Detalles Bibliográficos
Autores principales: Zhang, Yuanke, Hao, Dejing, Lin, Yingying, Sun, Wanxin, Zhang, Jinke, Meng, Jing, Ma, Fei, Guo, Yanfei, Lu, Hongbing, Li, Guangshun, Liu, Jianlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585579/
https://www.ncbi.nlm.nih.gov/pubmed/37869272
http://dx.doi.org/10.21037/qims-23-194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585579/
https://www.ncbi.nlm.nih.gov/pubmed/37869272
http://dx.doi.org/10.21037/qims-23-194

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