Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images.
Leonardo CrespiMattia PortantiDaniele LoiaconoPublished in: CBMS (2023)
Keyphrases
- ct images
- medical images
- medical imaging
- computed tomography
- inter patient
- pet ct
- lung nodules
- computer tomography
- anatomical structures
- liver segmentation
- fracture detection
- ct scans
- medical image segmentation
- medical image analysis
- magnetic resonance images
- pet images
- x ray
- region of interest
- mr images
- image segmentation
- deformable models
- lung parenchyma
- bone segmentation
- ground glass opacity
- soft tissue
- image analysis
- image registration
- computer aided diagnosis
- image processing
- imaging modalities
- treatment planning
- anatomical knowledge
- magnetic resonance imaging
- magnetic resonance
- ct imaging
- medical image processing
- segmentation method
- computer vision
- remote sensing
- machine learning
- vessel segmentation
- contrast enhanced
- radiation therapy
- level set
- pulmonary nodules
- lymph nodes
- region growing
- accurate segmentation
- pattern recognition
- three dimensional
- clinical applications