Deep Recursive Bayesian Tracking for Fully Automatic Centerline Extraction of Coronary Arteries in CT Images

Extraction of coronary arteries in coronary computed tomography (CT) angiography is a prerequisite for the quantification of coronary lesions. In this study, we propose a tracking method combining a deep convolutional neural network (DNN) and particle filtering method to identify the trajectories fr...

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Detalles Bibliográficos
Autor principal: Jeon, Byunghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471768/
https://www.ncbi.nlm.nih.gov/pubmed/34577293
http://dx.doi.org/10.3390/s21186087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471768/
https://www.ncbi.nlm.nih.gov/pubmed/34577293
http://dx.doi.org/10.3390/s21186087

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