Coupled active shape models for automated segmentation and landmark localization in high-resolution CT of the foot and ankle.
Michael BrehlerA. IslamLevon VogelsangD. YangWilliam J. SehnertD. ShakoorShadpour DemehriJeffrey H. SiewerdsenWojciech ZbijewskiPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Keyphrases
- active shape model
- automated segmentation
- landmark localization
- manual segmentation
- high resolution
- ct scans
- statistical shape model
- low resolution
- face detection
- computed tomography
- facial features
- ct images
- clinical applications
- shape model
- x ray
- super resolution
- active appearance models
- coarse to fine
- remote sensing
- segmentation algorithm
- image reconstruction
- high quality
- computer aided diagnosis
- image processing
- medical images
- appearance model
- medical imaging
- region of interest
- object boundaries
- random forest
- three dimensional
- segmentation method
- automatic segmentation
- machine learning
- object detection
- shape prior
- intraoperative
- detection algorithm
- multi class
- human faces