Cargando…
Automated Segmentation of Coronary Arteries Based on Statistical Region Growing and Heuristic Decision Method
The segmentation of coronary arteries is a vital process that helps cardiovascular radiologists detect and quantify stenosis. In this paper, we propose a fully automated coronary artery segmentation from cardiac data volume. The method is built on a statistics region growing together with a heuristi...
Autores principales: | Tian, Yun, Pan, Yutong, Duan, Fuqing, Zhao, Shifeng, Wang, Qingjun, Wang, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5107877/ https://www.ncbi.nlm.nih.gov/pubmed/27872849 http://dx.doi.org/10.1155/2016/3530251 |
Ejemplares similares
-
A coronary artery segmentation method based on region growing with variable sector search area
por: Ma, Guangkun, et al.
Publicado: (2020) -
An Active Contour Model Based on Adaptive Threshold for Extraction of Cerebral Vascular Structures
por: Wang, Jiaxin, et al.
Publicado: (2016) -
Heuristic decision making in medicine
por: Marewski, Julian N., et al.
Publicado: (2012) -
Robust cardiac segmentation corrected with heuristics
por: Cervantes-Guzmán, Alan, et al.
Publicado: (2023) -
A Vessel Active Contour Model for Vascular Segmentation
por: Tian, Yun, et al.
Publicado: (2014)