Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards.
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Characterization of PET/CT images using texture analysis: the past, the present… any future?A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET ImagesVariability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer.Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [(18)F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation.Pathologic stratification of operable lung adenocarcinoma using radiomics features extracted from dual energy CT imagesImaging features from pretreatment CT scans are associated with clinical outcomes in nonsmall-cell lung cancer patients treated with stereotactic body radiotherapy.Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer.Texture analysis of medical images for radiotherapy applications.Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features.Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.Measuring total liver function on sulfur colloid SPECT/CT for improved risk stratification and outcome prediction of hepatocellular carcinoma patientsLung nodule malignancy classification using only radiologist-quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical learning methods.Sensitivity of Image Features to Noise in Conventional and Respiratory-Gated PET/CT Images of Lung Cancer: Uncorrelated Noise Effects.Towards precision medicine: from quantitative imaging to radiomics.Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.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.18F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer.Accounting for reconstruction kernel-induced variability in CT radiomic features using noise power spectra.Responsible Radiomics Research for Faster Clinical Translation.Quantification of Iodine Concentration Using Single-Source Dual-Energy Computed Tomography in a Calf Liver.Voxel size and gray level normalization of CT radiomic features in lung cancerRadiomic Profiling of Head and Neck Cancer: F-FDG PET Texture Analysis as Predictor of Patient Survival
P2860
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P2860
Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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name
Quantitative radiomics: impact ...... mplies the need for standards.
@ast
Quantitative radiomics: impact ...... mplies the need for standards.
@en
type
label
Quantitative radiomics: impact ...... mplies the need for standards.
@ast
Quantitative radiomics: impact ...... mplies the need for standards.
@en
prefLabel
Quantitative radiomics: impact ...... mplies the need for standards.
@ast
Quantitative radiomics: impact ...... mplies the need for standards.
@en
P2093
P2860
P356
P1476
Quantitative radiomics: impact ...... mplies the need for standards.
@en
P2093
Darrin Byrd
George A Sandison
Matthew J Nyflot
Stephen R Bowen
P2860
P304
P356
10.1117/1.JMI.2.4.041002
P577
2015-08-05T00:00:00Z