A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images

Abstract Objective Using two three-dimensional U-Net architectures for myocardium structure extraction and a distance transformation algorithm specifically for the left circumflex artery, we have designed a fully automated algorithm for coronary artery labeling in coronary computed tomography angiog...

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Detalhes bibliográficos

Principais autores:	Pengling Ren, Yi He, Ning Guo, Nan Luo, Fang Li, Zhenchang Wang, Zhenghan Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2023-11-01
coleção:	BMC Medical Informatics and Decision Making
Assuntos:	Coronary artery Segments Automatic labeling Computed tomography angiography Deep learning
Acesso em linha:	https://doi.org/10.1186/s12911-023-02332-y
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