Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning.
Annika HänschVolker DickenJan KleinTomasz MorgasBenjamin HaasHorst K. HahnPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- deep learning
- prostate cancer
- soft tissue
- unsupervised learning
- medical images
- cone beam ct
- segmentation algorithm
- machine learning
- image segmentation
- multiscale
- level set
- x ray
- deformable models
- image analysis
- data mining
- radiation therapy
- statistical shape model
- deformable registration
- shape prior
- projection images
- automated segmentation
- feature selection
- image processing
- super resolution
- edge detection