Improving radiomic modeling for the identification of symptomatic carotid atherosclerotic plaques using deep learning-based 3D super-resolution CT angiography

Rationale and objectives: Radiomic models based on normal-resolution (NR) computed tomography angiography (CTA) images can fail to distinguish between symptomatic and asymptomatic carotid atherosclerotic plaques. This study aimed to explore the effectiveness of a deep learning-based three-dimensiona...

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Hlavní autoři:	Lingjie Wang, Tiedan Guo, Li Wang, Wentao Yang, Jingying Wang, Jianlong Nie, Jingjing Cui, Pengbo Jiang, Junlin Li, Hua Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2024-04-01
Edice:	Heliyon
Témata:	Deep learning Super-resolution Radiomics Computed tomography angiography Carotid plaques
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2405844024053623
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