Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis.
Bettina Katalin BudaiAmbrus TóthPetra BorsosVeronica Grace FrankSonaz ShariatiBence FejérAnikó FolhofferFerenc SzalayViktor BércziPál Novák KaposiPublished in: BMC Medical Imaging (2020)
Keyphrases
- low grade
- texture analysis
- three dimensional
- computed tomography
- ct images
- medical images
- prostate cancer
- breast cancer
- ct scans
- texture classification
- magnetic resonance images
- x ray
- multiresolution
- ct data
- gray level
- texture discrimination
- rotation invariant
- texture segmentation
- fractal dimension
- texture images
- medical imaging
- texture descriptors
- gabor filters
- texture features
- local binary pattern
- image analysis and computer vision
- texture characterization
- co occurrence
- texture description
- image analysis
- feature extraction
- computer tomography
- gabor filtering
- medical image analysis
- x ray images
- mr images
- image texture
- anatomical structures
- fractal analysis
- image reconstruction
- brodatz textures
- computer aided diagnosis
- deformable models
- feature vectors