Cargando…
Fully automatic framework for comprehensive coronary artery calcium scores analysis on non-contrast cardiac-gated CT scan: Total and vessel-specific quantifications
OBJECTIVES: To develop a fully automatic multiview shape constraint framework for comprehensive coronary artery calcium scores (CACS) quantification via deep learning on nonenhanced cardiac CT images. METHODS: In this retrospective single-centre study, a multi-task deep learning framework was propos...
Autores principales: | Zhang, Nan, Yang, Guang, Zhang, Weiwei, Wang, Wenjing, Zhou, Zhen, Zhang, Heye, Xu, Lei, Chen, Yundai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science Ireland Ltd
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814341/ https://www.ncbi.nlm.nih.gov/pubmed/33302029 http://dx.doi.org/10.1016/j.ejrad.2020.109420 |
Ejemplares similares
-
Automatic Quantification of Atherosclerosis in Contrast-Enhanced MicroCT Scans of Mouse Aortas Ex Vivo
por: Stadelmann, Vincent A., et al.
Publicado: (2021) -
Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities from CT Scans
por: Bagci, Ulas, et al.
Publicado: (2012) -
Fully automated coronary artery calcium quantification on electrocardiogram-gated non-contrast cardiac computed tomography using deep-learning with novel Heart-labelling method
por: Takahashi, Daigo, et al.
Publicado: (2023) -
Automated total and vessel-specific coronary artery calcium (CAC) quantification on chest CT: direct comparison with CAC scoring on non-contrast cardiac CT
por: Yu, Jie, et al.
Publicado: (2022) -
Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning
por: Sharkey, Michael J., et al.
Publicado: (2022)