TowardsWeakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses.
Nikolaus ArbogastHolger KunzeFlorian KordonBenedict SwartmanJan Siad El BarbariKatharina BreiningerPublished in: Bildverarbeitung für die Medizin (2022)
Keyphrases
- x ray images
- medical images
- x ray
- fracture detection
- lung nodules
- ct and mr images
- medical imaging
- computer aided surgery
- fully unsupervised
- segmentation algorithm
- learning algorithm
- tomographic images
- segmentation method
- mr images
- level set
- clinical data sets
- semi supervised
- computed tomography
- image segmentation
- cellular neural networks
- shape prior
- computer aided diagnosis
- region growing
- feature selection
- guide wire
- magnetic resonance
- computer assisted
- image analysis