A dual‐attention V‐network for pulmonary lobe segmentation in CT scans

A dual‐attention V‐network for pulmonary lobe segmentation in CT scans

Abstract The reliable and automatic segmentation of pulmonary lobes in computed tomography scans is an important pre‐condition for the diagnosis, assessment, and treatment of lung diseases. However, due to the incomplete lobar structures and morphological changes caused by diseases, the lobe segment...

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Bibliographic Details
Main Authors: Shaohua Zheng, Weiyu Nie, Lin Pan, Bin Zheng, Zhiqiang Shen, Liqin Huang, Chenhao Pei, Yuhang She, Liuqing Chen
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:IET Image Processing
Subjects:
Optical, image and video signal processing
X‐ray techniques: radiography and computed tomography (biomedical imaging/measurement)
Computer vision and image processing techniques
X‐rays and particle beams (medical uses)
Patient diagnostic methods and instrumentation
Biology and medical computing
Online Access:https://doi.org/10.1049/ipr2.12133

Internet

https://doi.org/10.1049/ipr2.12133

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