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

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 angiography (C...

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Detalles Bibliográficos
Autores principales: Ren, Pengling, He, Yi, Guo, Ning, Luo, Nan, Li, Fang, Wang, Zhenchang, Yang, Zhenghan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626726/
https://www.ncbi.nlm.nih.gov/pubmed/37932709
http://dx.doi.org/10.1186/s12911-023-02332-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626726/
https://www.ncbi.nlm.nih.gov/pubmed/37932709
http://dx.doi.org/10.1186/s12911-023-02332-y

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