Deep regression model with ordinal and triplet loss for the prediction of prostate cancer aggressiveness in multi-parametric MR images.
Yoon Jo KimMin Jin LeeHelen HongSung Il HwangPublished in: Medical Imaging: Computer-Aided Diagnosis (2023)
Keyphrases
- regression model
- prostate cancer
- mr images
- magnetic resonance
- prognostic models
- medical images
- magnetic resonance images
- manual segmentation
- model selection
- semi parametric
- image guided
- survival analysis
- nonrigid registration
- deformable registration
- mri data
- image data
- brain tumors
- accurate segmentation
- radiation therapy
- prostate segmentation
- computer aided
- clinical data
- parametric models
- machine learning
- post mortem
- contrast enhanced
- medical imaging
- random variables