Adaptive border marching algorithm: automatic lung segmentation on chest CT images.
about
A differential geometric approach to automated segmentation of human airway treeReconstruction of 3D lung models from 2D planning data sets for Hodgkin's lymphoma patients using combined deformable image registration and navigator channels.A Computational geometry approach to automated pulmonary fissure segmentation in CT examinations.Pulmonary lobe segmentation in CT examinations using implicit surface fitting.Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approachDirect assessment of lung function in COPD using CT densitometric measures.Impact of emphysema heterogeneity on pulmonary functionAutomatic segmentation of anatomical structures from CT scans of thorax for RTP.Shape "break-and-repair" strategy and its application to automated medical image segmentationComputer-aided lung nodule recognition by SVM classifier based on combination of random undersampling and SMOTEA Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour ModelSegmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends.Computer-Aided Tomographic Analysis of Interstitial Lung Disease (ILD) in Patients with Systemic Sclerosis (SSc). Correlation with Pulmonary Physiologic Tests and Patient-Centred Measures of Perceived Dyspnea and Functional Disability.Joint Lung CT Image Segmentation: A Hierarchical Bayesian ApproachIllustration of the obstacles in computerized lung segmentation using examples.Identification of pulmonary fissures using a piecewise plane fitting algorithm.Optimal threshold in CT quantification of emphysema.A fully automatic method for lung parenchyma segmentation and repairing.Assessment of lung volume collapsibility in chronic obstructive lung disease patients using CT.Computed tomography quantification of pulmonary vessels in chronic obstructive pulmonary disease as identified by 3D automated approach.Computer-aided detection system for lung cancer in computed tomography scans: review and future prospectsPreclinical anatomical, molecular, and functional imaging of the lung with multiple modalities.Perfusion- and pattern-based quantitative CT indexes using contrast-enhanced dual-energy computed tomography in diffuse interstitial lung disease: relationships with physiologic impairment and prediction of prognosis.A generic approach to pathological lung segmentation.Computer-aided diagnosis systems for lung cancer: challenges and methodologies.Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and CorrectionHOSVD-Based 3D Active Appearance Model: Segmentation of Lung Fields in CT Images.Shape and texture based novel features for automated juxtapleural nodule detection in lung CTs.Operator-independent quantitative chest computed tomography versus standard assessment of interstitial lung disease related to systemic sclerosis: A multi-centric study.
P2860
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P2860
Adaptive border marching algorithm: automatic lung segmentation on chest CT images.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Adaptive border marching algorithm: automatic lung segmentation on chest CT images.
@en
type
label
Adaptive border marching algorithm: automatic lung segmentation on chest CT images.
@en
prefLabel
Adaptive border marching algorithm: automatic lung segmentation on chest CT images.
@en
P2093
P2860
P1476
Adaptive border marching algorithm: automatic lung segmentation on chest CT images.
@en
P2093
David S Paik
Geoffrey D Rubin
Jiantao Pu
Justus Roos
Sandy Napel
P2860
P304
P356
10.1016/J.COMPMEDIMAG.2008.04.005
P577
2008-06-02T00:00:00Z