A 2.5D Deep Learning-Based Approach for Prostate Cancer Detection on T2-Weighted Magnetic Resonance Imaging.
Ruba AlkadiAyman El-BazFatma TaherNaoufel WerghiPublished in: ECCV Workshops (4) (2018)
Keyphrases
- magnetic resonance imaging
- deep learning
- cancer detection
- prostate cancer
- medical images
- mri data
- mr images
- medical image analysis
- magnetic resonance images
- unsupervised learning
- medical imaging
- computer aided
- image guided
- machine learning
- mental models
- deformable models
- gene selection
- magnetic resonance
- image analysis
- weakly supervised
- image processing
- supervised learning
- image registration
- knn
- training data
- computer vision