High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images
about
Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-IIITexture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: a preliminary study.Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer.Robust Radiomics feature quantification using semiautomatic volumetric segmentation.Measuring Computed Tomography Scanner Variability of Radiomics FeaturesAssessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings.Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer.Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer.Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors.Reproducibility of radiomics for deciphering tumor phenotype with imagingEffects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule.Positron emission tomography/computerized tomography for tumor response assessment-a review of clinical practices and radiomics studiesPotential Application of Radiomics for Differentiating Solitary Pulmonary Nodules.Reproducibility with repeat CT in radiomics study for rectal cancer.IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.Large-scale image-based screening and profiling of cellular phenotypes.Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features.Harmonizing the pixel size in retrospective computed tomography radiomics studies.Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non-Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort.Towards precision medicine: from quantitative imaging to radiomics.Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.Investigating the Robustness Neighborhood Gray Tone Difference Matrix and Gray Level Co-occurrence Matrix Radiomic Features on Clinical Computed Tomography Systems Using Anthropomorphic Phantoms: Evidence From a Multivendor Study.Clinical applications of textural analysis in non-small cell lung cancer.Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics.Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility.
P2860
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P2860
High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
High quality machine-robust im ...... cer computed tomography images
@ast
High quality machine-robust im ...... cer computed tomography images
@en
type
label
High quality machine-robust im ...... cer computed tomography images
@ast
High quality machine-robust im ...... cer computed tomography images
@en
prefLabel
High quality machine-robust im ...... cer computed tomography images
@ast
High quality machine-robust im ...... cer computed tomography images
@en
P2093
P2860
P50
P356
P1433
P1476
High quality machine-robust im ...... cer computed tomography images
@en
P2093
Haesun Choi
Luke A Hunter
Mary K Martel
P2860
P304
P356
10.1118/1.4829514
P407
P577
2013-12-01T00:00:00Z