Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors.
Marius ErdtMatthias KirschnerKlaus DrechslerStefan WesargMatthias HammonAlexander CavallaroPublished in: ISBI (2011)
Keyphrases
- contrast enhanced
- ct data
- medical images
- texture descriptors
- computed tomography
- automatic segmentation
- intraoperative
- patient specific
- magnetic resonance
- mr images
- ct scans
- pre operative
- segmentation algorithm
- statistical shape model
- mri data
- anatomical structures
- fully automatic
- three dimensional
- medical imaging
- imaging modalities
- local binary pattern
- prior information
- ct images
- carotid artery
- medical image analysis
- texture features
- deformable models
- image guided
- image reconstruction
- computer aided diagnosis
- magnetic resonance images
- x ray
- region of interest
- image intensity
- ground truth data
- deformation field
- ground truth
- similarity measure
- contrast enhancement
- level set
- feature extraction