Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM).
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Automated 3D ιnterstitial lung disease εxtent quantification: performance evaluation and correlation to PFTsComputer-assisted detection of infectious lung diseases: a review.Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer.Interstitial lung disease: NHLBI Workshop on the Primary Prevention of Chronic Lung Diseases.Lung texture in serial thoracic CT scans: correlation with radiologist-defined severity of acute changes following radiation therapyDevelopment of an automatic classification system for differentiation of obstructive lung disease using HRCT.Comparison of usual interstitial pneumonia and nonspecific interstitial pneumonia: quantification of disease severity and discrimination between two diseases on HRCT using a texture-based automated systemQuantification of regional interstitial lung disease from CT-derived fractional tissue volume: a lung tissue research consortium study.A computer-aided diagnosis system for quantitative scoring of extent of lung fibrosis in scleroderma patients.Regional context-sensitive support vector machine classifier to improve automated identification of regional patterns of diffuse interstitial lung diseaseEnhanced Classification of Interstitial Lung Disease Patterns in HRCT Images Using Differential Lacunarity.Quantifying heterogeneity in emphysema from high-resolution computed tomography: a lung tissue research consortium study.Functional imaging: CT and MRIThe porcine lung as a potential model for cystic fibrosisClassification of parenchymal abnormality in scleroderma lung using a novel approach to denoise images collected via a multicenter study.Automatic detection of bronchial dilatation in HRCT lung imagesFeasibility of automated quantification of regional disease patterns depicted on high-resolution computed tomography in patients with various diffuse lung diseases.Quantitative computed tomography imaging of interstitial lung diseases.Development of quantitative computed tomography lung protocols.An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors.Visual assessment of early emphysema and interstitial abnormalities on CT is useful in lung cancer risk analysis.Idiopathic Pulmonary Fibrosis: The Association between the Adaptive Multiple Features Method and Fibrosis Outcomes.Texture feature ranking with relevance learning to classify interstitial lung disease patternsThe Objective Identification and Quantification of Interstitial Lung Abnormalities in Smokers.High attenuation areas on chest computed tomography in community-dwelling adults: the MESA study.Mosaic decomposition: an electronic cleansing method for inhomogeneously tagged regions in noncathartic CT colonography.Densitometric and local histogram based analysis of computed tomography images in patients with idiopathic pulmonary fibrosis.A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: comparison to a Bayesian classifier.Improving Care for Patients with Interstitial Lung Disease Using Machine Learning Requires Transparency and Reproducibility.Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT Images.Quantitative assessment of change in regional disease patterns on serial HRCT of fibrotic interstitial pneumonia with texture-based automated quantification system.Automated estimation of progression of interstitial lung disease in CT images.Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT.
P2860
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P2860
Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM).
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Computer-aided classification ...... iple feature method (3D AMFM).
@en
Computer-aided classification ...... aptive multiple feature method
@nl
type
label
Computer-aided classification ...... iple feature method (3D AMFM).
@en
Computer-aided classification ...... aptive multiple feature method
@nl
prefLabel
Computer-aided classification ...... iple feature method (3D AMFM).
@en
Computer-aided classification ...... aptive multiple feature method
@nl
P2093
P1433
P1476
Computer-aided classification ...... tiple feature method (3D AMFM)
@en
P2093
Edwin J R van Beek
Geoffrey McLennan
Junfeng Guo
P304
P356
10.1016/J.ACRA.2006.04.017
P577
2006-08-01T00:00:00Z