Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI.
Duc Duy PhamGurbandurdy DovletovSebastian WarwasStefan LandgräberMarcus JägerJosef PauliPublished in: CoRR (2019)
Keyphrases
- deep learning
- bone segmentation
- medical images
- ct images
- fracture detection
- clinical applications
- treatment planning
- anatomical structures
- medical imaging
- ct scans
- computed tomography
- mr images
- magnetic resonance
- imaging modalities
- x ray images
- denoising
- machine learning
- unsupervised learning
- latent variables
- active shape model
- deformable models
- x ray
- three dimensional
- high dimensional
- bayesian framework
- image classification
- graphical models
- pattern recognition