Automated classification of normal and pathologic pulmonary tissue by topological texture features extracted from multi-detector CT in 3D.

Automated classification of normal and pathologic pulmonary tissue by topological texture features extracted from multi-detector CT in 3D.

Item
http://www.wikidata.org/entity/Q51873242
CT-Based Local Distribution Metric Improves Characterization of COPD.Computer-aided diagnosis in phase contrast imaging X-ray computed tomography for quantitative characterization of ex vivo human patellar cartilageMethod for 3D airway topology extraction.Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography.Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over timeClassification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment.Texture feature ranking with relevance learning to classify interstitial lung disease patternsFrequency response and distortion properties of nonlinear image processing algorithms and the importance of imaging context.Minkowski functionals: An MRI texture analysis tool for determination of the aggressiveness of breast cancer.Low agreement of visual rating for detailed quantification of pulmonary emphysema in whole-lung CT.Performance of topological texture features to classify fibrotic interstitial lung disease patterns.
P2860

Automated classification of normal and pathologic pulmonary tissue by topological texture features extracted from multi-detector CT in 3D.

Item
http://www.wikidata.org/entity/Q51873242
description
2008 nî lūn-bûn
@nan
2008年の論文
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Automated classification of no ...... from multi-detector CT in 3D.
@en
Automated classification of no ...... from multi-detector CT in 3D.
@nl
type
label
Automated classification of no ...... from multi-detector CT in 3D.
@en
Automated classification of no ...... from multi-detector CT in 3D.
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prefLabel
Automated classification of no ...... from multi-detector CT in 3D.
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Automated classification of no ...... from multi-detector CT in 3D.
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Automated classification of no ...... from multi-detector CT in 3D.
@en
P2093
P2860
P2888
P304
P31
P356
P407
P433
P478
P577
P5875
P698
P921