A fully automatic cardiac segmentation method using region growing technique-Reference-Cited by-同舟云学术

A fully automatic cardiac segmentation method using region growing technique

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence - MedPRAI-2016
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Author:

Daoudi Abdelaziz¹,Mahmoudi Said²

Affiliation:

1. University of Tahri Mohamed, Bechar, Algeria

2. Computer Science Department University of Mons, Mons, Belgium

Publisher

ACM Press

Reference19 articles.

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3. Lijia Wang, Mengchao Pei, Noel C, F. Codella, MinishaKochar, Jonathan W. Weinsaft, Jianqi Li, Martin R. Prince and Yi Wang. 2015. Left Ventricle: Fully Automated Segmentation Based on Spatiotemporal Continuity and Myocardium Information in Cine Cardiac Magnetic Resonance Imaging (LVFAST). BioMed Research International, (2015), 367583, 9 pages.

4. Kerkeni A, Benabdallah A, Manzanera A and Bedoui MH. 2016. A coronary artery segmentation method based on multiscale analysis and region growing. Comput Med Imaging Graph. (2016) Mar; 48. 49--61.

5. Miguel Souto, Lambert Raul Masip, Miguel Couto, Jorge Juan Suárez-Cuenca, Amparo Martínez, Pablo G. Tahoces, Jose Martin Carreira and Pierre Croisille. 2013. Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semi-automatic and Manual Segmentation Algorithms. Diagnostics. (2013), 3, 271--282

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