Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images.
Leonardo CrespiMattia PortantiDaniele LoiaconoPublished in: CoRR (2023)
Keyphrases
- ct images
- medical images
- medical imaging
- computed tomography
- liver segmentation
- lung nodules
- pet ct
- inter patient
- ct scans
- anatomical structures
- computer tomography
- fracture detection
- medical image segmentation
- medical image analysis
- image segmentation
- deformable models
- mr images
- image analysis
- soft tissue
- anatomical knowledge
- magnetic resonance imaging
- image registration
- x ray
- pet images
- medical image processing
- region of interest
- imaging modalities
- lung parenchyma
- magnetic resonance images
- computer vision
- computer aided diagnosis
- pulmonary nodules
- magnetic resonance
- bone segmentation
- treatment planning
- x ray images
- ground glass opacity
- image processing
- ct imaging
- automated segmentation
- semi supervised
- level set
- remote sensing
- shape prior
- clinical applications