Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters
Authors
Keywords
-
Journal
Scientific Reports
Volume 7, Issue 1, Pages -
Publisher
Springer Nature
Online
2017-06-16
DOI
10.1038/s41598-017-04151-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Diagnosis of Sarcomatoid Renal Cell Carcinoma With CT: Evaluation by Qualitative Imaging Features and Texture Analysis
- (2015) Nicola Schieda et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Application of Texture Analysis in the Differential Diagnosis of Benign and Malignant Thyroid Nodules: Comparison With Gray-Scale Ultrasound and Elastography
- (2015) Soo-Yeon Kim et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores
- (2015) Andreas Wibmer et al. EUROPEAN RADIOLOGY
- Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
- (2015) A Vignati et al. PHYSICS IN MEDICINE AND BIOLOGY
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
- (2015) Ralph T.H. Leijenaar et al. Scientific Reports
- Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendations
- (2015) Anwar R. Padhani et al. NEOPLASIA
- Textural Differences in Apparent Diffusion Coefficient Between Low- and High-Stage Clear Cell Renal Cell Carcinoma
- (2014) Andrea S. Kierans et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Diagnostic assessment by dynamic contrast-enhanced and diffusion-weighted magnetic resonance in differentiation of breast lesions under different imaging protocols
- (2014) Hongmin Cai et al. BMC CANCER
- Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome
- (2014) J. P. B. O'Connor et al. CLINICAL CANCER RESEARCH
- Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines
- (2014) Turid Torheim et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- ADC texture-An imaging biomarker for high-grade glioma?
- (2014) Patrik Brynolfsson et al. MEDICAL PHYSICS
- Glioma: Application of Whole-Tumor Texture Analysis of Diffusion-Weighted Imaging for the Evaluation of Tumor Heterogeneity
- (2014) Young Jin Ryu et al. PLoS One
- Analysis of Co-Occurrence Texture Statistics as a Function of Gray-Level Quantization for Classifying Breast Ultrasound
- (2012) W. Gomez et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer
- (2011) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response?
- (2011) L Alic et al. PHYSICS IN MEDICINE AND BIOLOGY
- Effect of slice thickness on brain magnetic resonance image texture analysis
- (2010) Sami J Savio et al. Biomedical Engineering Online
- Effects of Magnetic Resonance Image Interpolation on the Results of Texture-Based Pattern Classification
- (2009) Marius E. Mayerhoefer et al. INVESTIGATIVE RADIOLOGY
- Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: An application-oriented study
- (2009) Marius E. Mayerhoefer et al. MEDICAL PHYSICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More