False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
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Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging.Characterization of PET/CT images using texture analysis: the past, the present… any future?Pathway-Informed Classification System (PICS) for Cancer Analysis Using Gene Expression Data.Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancerFully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer.Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials.Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier.A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction.Applications and limitations of radiomicsPretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235."Radio-oncomics" : The potential of radiomics in radiation oncology.Texture analysis of medical images for radiotherapy applications.PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology.Developments in oncological positron emission tomography/computed tomography assessment.The value of prior knowledge in machine learning of complex network systems.Predicting survival time of lung cancer patients using radiomic analysis.Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy.Data Science in Radiology: A Path Forward.FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer.Background, current role, and potential applications of radiogenomics.Added Value of Computer-aided CT Image Features for Early Lung Cancer Diagnosis with Small Pulmonary Nodules: A Matched Case-Control Study.CT texture features of liver parenchyma for predicting development of metastatic disease and overall survival in patients with colorectal cancer.Combination of baseline FDG PET/CT total metabolic tumour volume and gene expression profile have a robust predictive value in patients with diffuse large B-cell lymphoma.Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method.Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery.Prognostic value of histogram analysis in advanced non-small cell lung cancer: a radiomic study.Diagnostic value of MRI-based 3D texture analysis for tissue characterisation and discrimination of low-grade chondrosarcoma from enchondroma: a pilot study.Whole-volume vs. segmental CT texture analysis of the liver to assess metachronous colorectal liver metastases.Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images.The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancerRadiomic Profiling of Head and Neck Cancer: F-FDG PET Texture Analysis as Predictor of Patient SurvivalRadiomics: is it time to compose the puzzle?
P2860
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P2860
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
description
2015 nî lūn-bûn
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2015 թուականի Մայիսին հրատարակուած գիտական յօդուած
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2015 թվականի մայիսին հրատարակված գիտական հոդված
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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
@zh-hant
2015年論文
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2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
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name
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@ast
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@en
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@en-gb
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
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type
label
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@ast
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@en
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@en-gb
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@nl
prefLabel
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@ast
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@en
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@en-gb
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@nl
P2860
P31
P921
P3181
P1433
P1476
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
@en
P2093
Michael J O'Doherty
Paul K Marsden
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0124165
P407
P577
2015-05-04T00:00:00Z