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Author/Affiliation: M. Usman AkramOpen AccessArticle
13 Pages, 4,847 KB 
A Comparison of Mean Models and Clustering Techniques for Vertebra Detection and Region Separation from C-Spine X-Rays
Abstract:
In Computer Aided Diagnosis (CAD) tools, vertebra localization and detection are the essential steps for the diagnosis of cervical spine injuries. The accurate localization leads to accurate treatment, which is more challenging in case of poor contrast and noisy radiographs. This paper targets c-spine radiographs for the localization of vertebra using different vertebra templates, vertebra…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))