Graph-Based Airway Tree Reconstruction From Chest CT Scans: Evaluation of Different Features on Five Cohorts.
about
Airway tree reconstruction in expiration chest CT scans facilitated by information transfer from corresponding inspiration scans.Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching.An approach for reducing the error rate in automated lung segmentation.Higher BMI is associated with higher expiratory airflow normalised for lung volume (FEF25-75/FVC) in COPDChest wall strapping increases expiratory airflow and detectable airway segments in computer tomographic scans of normal and obstructed lungs.
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Graph-Based Airway Tree Reconstruction From Chest CT Scans: Evaluation of Different Features on Five Cohorts.
description
2014 nî lūn-bûn
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2014年の論文
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name
Graph-Based Airway Tree Recons ...... rent Features on Five Cohorts.
@en
type
label
Graph-Based Airway Tree Recons ...... rent Features on Five Cohorts.
@en
prefLabel
Graph-Based Airway Tree Recons ...... rent Features on Five Cohorts.
@en
P2860
P356
P1476
Graph-Based Airway Tree Recons ...... erent Features on Five Cohorts
@en
P2093
Christian Bauer
Reinhard R Beichel
P2860
P304
P356
10.1109/TMI.2014.2374615
P577
2014-11-25T00:00:00Z