Hybrid Automatic Lung Segmentation on Chest CT Scans

Hybrid Automatic Lung Segmentation on Chest CT Scans

Accurate lung segmentation in chest Computed Tomography (CT) scans is a challenging problem because of variations in lung volume shape, susceptibility to partial volume effects that affect thin antero-posterior junction lines, and lack of contrast between the lung and surrounding tissues. To address...

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Bibliographic Details
Main Authors: Tao Peng, Thomas Canhao Xu, Yihuai Wang, Hailing Zhou, Sema Candemir, Wan Mimi Diyana Wan Zaki, Shanq-Jang Ruan, Jing Wang, Xinjian Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Automatic lung segmentation
chest CT scans
principal curve
closed principal curve method
machine learning
Online Access:https://ieeexplore.ieee.org/document/9066949/

Internet

https://ieeexplore.ieee.org/document/9066949/

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