3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.
Maureen van EijnattenLeonardo RundoKees Joost BatenburgFelix LuckaEmma BeddowesCarlos CaldasFerdia A. GallagherEvis SalaCarola-Bibiane SchönliebRamona WoitekPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- deep learning
- ct images
- deformable registration
- unsupervised learning
- medical images
- brain images
- image registration
- weakly supervised
- radiation therapy
- medical imaging
- computed tomography
- deformation field
- b spline
- prostate cancer
- ct scans
- similarity metric
- semi supervised
- statistical shape model
- image intensity
- brain tumors
- treatment planning
- machine learning
- magnetic resonance imaging
- magnetic resonance images
- dimensionality reduction
- expectation maximization
- deformable models
- magnetic resonance
- medical image analysis
- mr images
- anatomical structures
- diffusion tensor
- feature selection
- computer vision
- model selection
- level set
- boundary conditions
- denoising
- image analysis
- object recognition