Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.
Duc FehrHarini VeeraraghavanAndreas WibmerTatsuo GondoKazuhiro MatsumotoHerbert Alberto VargasEvis SalaHedvig HricakJoseph O. DeasyPublished in: Proc. Natl. Acad. Sci. USA (2015)
Keyphrases
- prostate cancer
- automatic classification
- magnetic resonance images
- mr images
- medical image analysis
- medical images
- magnetic resonance
- manual segmentation
- image guided
- mri data
- white matter
- automatic detection
- radiation therapy
- deformable registration
- brain tumors
- diffusion tensor
- diffusion weighted
- medical imaging
- image data
- accurate segmentation
- nonrigid registration
- prostate segmentation
- magnetic resonance spectroscopy
- magnetic resonance imaging
- clinical data
- high resolution
- computer vision
- neural network
- intensity distribution
- image intensity