Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field.
Ruiming CaoXinran ZhongSepideh ShakeriAmirhossein Mohammadian BajgiranSohrab Afshari MirakDieter EnzmannSteven S. RamanKyung Hyun SungPublished in: ISBI (2019)
Keyphrases
- conditional random fields
- prostate cancer
- mr images
- image labeling
- dce mri
- crf model
- medical images
- semantic segmentation
- segmentation method
- medical image analysis
- accurate segmentation
- graphical models
- prostate segmentation
- brain tumors
- magnetic resonance imaging
- mri data
- segmentation algorithm
- magnetic resonance images
- probabilistic model
- hidden markov models
- prostate biopsy
- magnetic resonance
- computer aided
- image segmentation
- medical imaging
- deformable registration
- segmentation result
- generative model
- markov random field
- superpixels
- higher order
- pairwise
- random fields
- image guided
- information extraction
- magnetic resonance spectroscopy
- anatomical structures
- graph cuts
- multiscale
- manual segmentation
- white matter
- shape prior
- radiation therapy
- image data
- deformable models
- energy function
- level set
- transrectal ultrasound
- image analysis