Automatic Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach

Automatic Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach

Objective: chest computed tomography (CT) images and their quantitative analyses have become increasingly important for a variety of purposes, including lung parenchyma density analysis, airway analysis, diaphragm mechanics analysis, and nodule detection for cancer screening. Lung segmentation is an...

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Bibliographic Details
Main Authors: Heewon Chung, Hoon Ko, Se Jeong Jeon, Kwon-Ha Yoon, Jinseok Lee
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Active contour
lung segmentation
chest CT images
computer aided diagnosis
juxta-pleural nodule
Online Access:https://ieeexplore.ieee.org/document/8361032/

Internet

https://ieeexplore.ieee.org/document/8361032/

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