Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study. - Wikidata - awgldk - TriplyDB

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

http://www.wikidata.org/entity/Q37723858

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A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings.Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer.Reproducibility of radiomics for deciphering tumor phenotype with imaging Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology.Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule.Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study.Technical Note: FreeCT_wFBP: A robust, efficient, open-source implementation of weighted filtered backprojection for helical, fan-beam CT.Precision of quantitative computed tomography texture analysis using image filtering: A phantom study for scanner variability.Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.Effect of tube current on computed tomography radiomic features.Accounting for reconstruction kernel-induced variability in CT radiomic features using noise power spectra.An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility.Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies

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P2860

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

http://www.wikidata.org/entity/Q37723858

description

article científic

@ca

article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

@tr

scientific article published on February 2014

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

@en

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

@nl

type

label

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

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Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

@nl

prefLabel

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

@en

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

@nl

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Translational Oncology

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Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

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Binsheng Zhao

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Lawrence H Schwartz

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Lin Lu

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Wei Yann Tsai

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Yongqiang Tan

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P2860

Radiomics: extracting more information from medical images using advanced feature analysis

Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results

Texture analysis of medical images.

Radiogenomics of clear cell renal cell carcinoma: associations between CT imaging features and mutations.

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme.

Pulmonary metastases: effect of CT section thickness on measurement--initial experience.

A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom.

Assessing the effect of CT slice interval on unidimensional, bidimensional and volumetric measurements of solid tumours

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field.

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scholarly article

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10.1593/TLO.13865

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1

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2014-02-01T00:00:00Z

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