Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions.
Ileana Montoya PerezJussi ToivonenParisa MovahediHarri MerisaariMarko PesolaPekka TaimenPeter J. BoströmAida KiviniemiHannu J. AronenTapio PahikkalaIvan JamborPublished in: IPTA (2016)
Keyphrases
- prostate cancer
- texture features
- texture analysis
- texture classification
- computer aided
- gabor filters
- gray level
- texture images
- deformable registration
- image features
- mr images
- feature vectors
- distance measure
- cancer patients
- medical image analysis
- local binary pattern
- texture information
- feature extraction
- feature set
- radiation therapy
- machine learning