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Deep learning-based reconstruction on cardiac CT yields distinct radiomic features compared to iterative and filtered back projection reconstructions
We aimed to determine the effects of deep learning-based reconstruction (DLR) on radiomic features obtained from cardiac computed tomography (CT) by comparing with iterative reconstruction (IR), and filtered back projection (FBP). A total of 284 consecutive patients with 285 cardiac CT scans that we...
Autores principales: | Chun, Sei Hyun, Suh, Young Joo, Han, Kyunghwa, Kwon, Yonghan, Kim, Aaron Youngjae, Choi, Byoung Wook |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452656/ https://www.ncbi.nlm.nih.gov/pubmed/36071138 http://dx.doi.org/10.1038/s41598-022-19546-1 |
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