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http://dx.doi.org/10.14400/JDC.2018.16.2.019

Improved Lung and Pulmonary Vessels Segmentation and Numerical Algorithms of Necrosis Cell Ratio in Lung CT Image  

Cho, Joon-Ho (Department of Electronics Convergence Engineering, Wonkwang University)
Moon, Sung-Ryong (Department of Electronic Engineering, Wonkwang University)
Publication Information
Journal of Digital Convergence / v.16, no.2, 2018 , pp. 19-26 More about this Journal
Abstract
We proposed a numerical calculation of the proportion of necrotic cells in pulmonary segmentation, pulmonary vessel segmentation lung disease site for diagnosis of lung disease from chest CT images. The first step is to separate the lungs and bronchi by applying a three-dimensional labeling technique from a chest CT image and a three-dimensional region growing method. The second step is to divide the pulmonary vessels by applying the rate of change using the first order polynomial regression, perform noise reduction, and divide the final pulmonary vessels. The third step is to find a disease prediction factor in a two-step image and calculate the proportion of necrotic cells.
Keywords
Lung; Necrosis Cell; Region Growing Method; Rolling Ball Algorithm; Vessel;
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Times Cited By KSCI : 2  (Citation Analysis)
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