A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer.
Yahui PengYulei JiangTatjana AnticMaryellen L. GigerScott EggenerAytekin OtoPublished in: Medical Imaging: Computer-Aided Diagnosis (2013)
Keyphrases
- mr images
- medical images
- prostate cancer
- texture features
- computer aided diagnosis
- magnetic resonance images
- magnetic resonance
- image features
- manual segmentation
- medical image analysis
- mr imaging
- anatomical structures
- computer aided
- medical imaging
- image data
- feature vectors
- feature set
- ct images
- image guided
- texture analysis
- deformable models
- texture information
- mri data
- imaging modalities
- local binary pattern
- feature extraction
- brain tissue
- brain tumors
- object recognition
- brain images
- ct scans