@Article{JFBI-8-547,
author = {Ili Ayuni Mohd Ikhsan, Aini Hussain, Mohd Asyraf Zulkifley and Aouache Mustapha},
title = {Automated Vertebrae Extraction Using Watershed Segmentation and Tree-based Modelling Approach},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2015},
volume = {8},
number = {3},
pages = {547--555},
abstract = {Vertebra segmentation and extraction are essential steps for automated vertebrae fracture assessment
system. This study focuses on vertebra segmentation, which is a challenging task due to high noise and
poor contrast of X-Ray images. The objective of this study is to develop and test an automated cervical
vertebrae extraction to facilitate the medical researchers and physicians. The novelty of the proposed
method is the combination of watershed segmentation and tree-based modelling algorithm. The proposed
method has been successfully applied to a set of 50 cervical X-Ray images. Five performance metrics
are calculated, which are accuracy, sensitivity, specificity, correlation and error where the best obtained
results are 0.9886, 0.0655, 0.99, 0.7246 and 0.01135, respectively.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbim00155},
url = {http://global-sci.org/intro/article_detail/jfbi/4736.html}
}