A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images

Author:

Jimenez-Carretero Daniel,Bermejo-Peláez David,Nardelli PietroORCID,Fraga Patricia,Fraile Eduardo,San José Estépar Raúl,Ledesma-Carbayo Maria J

Funder

National Institutes of Health

Spanish Ministry of Economy and Competitiveness

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference39 articles.

1. Graph cuts in vision and graphics: theories and applications;Boykov,2006

2. Fast approximate energy minimization via graph cuts;Boykov;IEEE Trans. Pattern Anal. Mach. Intell.,2001

3. Random forests;Breiman;Mach. Learn.,2001

4. Automatic extraction of the pulmonary artery tree from multi-slice CT data;Buelow,2005

5. Automatic pulmonary artery-vein separation and classification in computed tomography using tree partitioning and peripheral vessel matching;Charbonnier;IEEE Trans. Med. Imaging,2016

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