HIGHLIGHTS
- who: Statistical Region Growing and collaborators from the College of Information Science and Technology, Beijing Normal University, Beijing, China have published the research: Automated Segmentation of Coronary Arteries Based on Statistical Region Growing and Heuristic Decision Method, in the Journal: (JOURNAL) of 17/07/2016
- what: The authors propose a fully automated coronary artery segmentation from cardiac data volume. The experiments are carried out on eight-patient multicenter multivendor cardiac CTA volume data, and the DICE similarity index, mean distance, and Hausdorff distance metrics are employed to compare the different methods.
- how: The . . .
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