Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer.
about
ENT COBRA (Consortium for Brachytherapy Data Analysis): interdisciplinary standardized data collection system for head and neck patients treated with interventional radiotherapy (brachytherapy)Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRTQuality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation SoftwareDelta-radiomics features for the prediction of patient outcomes in non-small cell lung cancerGrading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences.Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer.The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis.Respiration-Averaged CT for Attenuation Correction of PET Images - Impact on PET Texture Features in Non-Small Cell Lung Cancer PatientsAssessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings.Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer.Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer.Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology.Vision 20/20: Molecular-guided surgical oncology based upon tumor metabolism or immunologic phenotype: Technological pathways for point of care imaging and intervention.Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma.Applications and limitations of radiomicsRadiomic phenotype features predict pathological response in non-small cell lung cancer.Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule.The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancerAn Exploratory Study to Detect Ménière's Disease in Conventional MRI Scans Using Radiomics.Radiomics of pulmonary nodules and lung cancerHASE: Framework for efficient high-dimensional association analysesComparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma.Feature selection methodology for longitudinal cone-beam CT radiomics."Radio-oncomics" : The potential of radiomics in radiation oncology.Defining the biological basis of radiomic phenotypes in lung cancer.Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions.Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures.Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.Large-scale image-based screening and profiling of cellular phenotypes.Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.Radiomics: a new application from established techniques.Development and clinical application of radiomics in lung cancer.A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling.Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics.Radiographic prediction of meningioma grade by semantic and radiomic features.Exploration and validation of radiomics signature as an independent prognostic biomarker in stage III-IVb nasopharyngeal carcinoma.Pixel classification method in optical coherence tomography for tumor segmentation and its complementary usage with OCT microangiography.Tumor image-derived texture features are associated with CD3 T-cell infiltration status in glioblastoma.Anatomic, functional and molecular imaging in lung cancer precision radiation therapy: treatment response assessment and radiation therapy personalization.
P2860
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P2860
Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer.
description
2015 nî lūn-bûn
@nan
2015 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@ast
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@en
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@nl
type
label
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@ast
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@en
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@nl
prefLabel
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@ast
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@en
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@nl
P2093
P2860
P50
P356
P1433
P1476
Radiomic feature clusters and ...... r Lung and Head & Neck cancer.
@en
P2093
Derek Rietveld
Emmanuel Rios Velazquez
Hugo J W L Aerts
Michelle M Rietbergen
Patrick Grossmann
Philippe Lambin
Ralph T H Leijenaar
P2860
P2888
P356
10.1038/SREP11044
P407
P577
2015-06-05T00:00:00Z
P5875
P6179
1026869470