4.7 Article

Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation

Related references

Note: Only part of the references are listed.
Article Radiology, Nuclear Medicine & Medical Imaging

CT texture analysis of pancreatic cancer

Kumar Sandrasegaran et al.

EUROPEAN RADIOLOGY (2019)

Article Oncology

Cancer Statistics, 2018

Rebecca L. Siegel et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters

Roberto Berenguer et al.

RADIOLOGY (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging

Thomas Perrin et al.

ABDOMINAL RADIOLOGY (2018)

Editorial Material Radiology, Nuclear Medicine & Medical Imaging

Texture analysis in radiology: Does the emperor have no clothes?

Ronald M. Summers

ABDOMINAL RADIOLOGY (2017)

Review Oncology

Radiomics: the bridge between medical imaging and personalized medicine

Philippe Lambin et al.

NATURE REVIEWS CLINICAL ONCOLOGY (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies et al.

RADIOLOGY (2016)

Article Multidisciplinary Sciences

Reproducibility of radiomics for deciphering tumor phenotype with imaging

Binsheng Zhao et al.

SCIENTIFIC REPORTS (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

Test-Retest Data for Radiomics Feature Stability Analysis: Generalizable or Study-Specific?

Janna E. van Timmeren et al.

TOMOGRAPHY (2016)

Review Oncology

Pancreatic cancer: from state-of-the-art treatments to promising novel therapies

Ignacio Garrido-Laguna et al.

NATURE REVIEWS CLINICAL ONCOLOGY (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Test-Retest Reproducibility Analysis of Lung CT Image Features

Yoganand Balagurunathan et al.

JOURNAL OF DIGITAL IMAGING (2014)

Article Oncology

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

Yoganand Balagurunathan et al.

TRANSLATIONAL ONCOLOGY (2014)

Article Multidisciplinary Sciences

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Hugo J. W. L. Aerts et al.

NATURE COMMUNICATIONS (2014)

Article Engineering, Biomedical

Measures of angular spread and entropy for the detection of architectural distortion in prior mammograms

Shantanu Banik et al.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2013)

Article Oncology

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

Philippe Lambin et al.

EUROPEAN JOURNAL OF CANCER (2012)

Article Engineering, Electrical & Electronic

Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer

Jayasree Chakraborty et al.

JOURNAL OF ELECTRONIC IMAGING (2012)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: the process and the challenges

Virendra Kumar et al.

MAGNETIC RESONANCE IMAGING (2012)

Proceedings Paper Optics

Detection of Architectural Distortion in Prior Mammograms Using Statistical Measures of Orientation of Texture

Jayasree Chakraborty et al.

MEDICAL IMAGING 2012: COMPUTER-AIDED DIAGNOSIS (2012)

Article Engineering, Biomedical

Texture analysis of aggressive and nonaggressive lung tumor CE CT images

Omar S. Al-Kadi et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2008)