An end-to-end deep learning approach for landmark detection and matching in medical images.
Monika GrewalTimo M. DeistJan WiersmaPeter A. N. BosmanTanja AlderliestenPublished in: Medical Imaging: Image Processing (2020)
Keyphrases
- end to end
- medical images
- deep learning
- landmark detection
- deformable models
- anatomical structures
- medical image analysis
- unsupervised learning
- medical imaging
- machine learning
- region of interest
- mental models
- congestion control
- weakly supervised
- image registration
- high resolution
- pairwise
- video sequences
- feature extraction