A transfer learning nomogram for predicting prostate cancer and benign conditions on MRI.
Junhao ChenBao FengMaoqing HuFeidong HuangYehang ChenXilun MaWansheng LongPublished in: BMC Medical Imaging (2023)
Keyphrases
- transfer learning
- prostate cancer
- mr images
- normal tissue
- medical image analysis
- prostate biopsy
- medical images
- knowledge transfer
- labeled data
- magnetic resonance
- dce mri
- reinforcement learning
- deformable registration
- cross domain
- magnetic resonance images
- semi supervised learning
- image guided
- manual segmentation
- radiation therapy
- active learning
- transfer knowledge
- computer aided
- machine learning
- mri data
- text classification
- collaborative filtering
- magnetic resonance imaging
- magnetic resonance spectroscopy
- text categorization
- prostate segmentation
- brain tumors
- trans rectal
- anatomical structures
- image data
- image analysis
- breast cancer
- machine learning algorithms
- unlabeled data
- target domain
- automatic segmentation
- nearest neighbor
- semi supervised
- high resolution
- image processing
- learning algorithm