Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints.
Ahmed SharafeldeenMohamed El-SharkawyNorah Saleh AlghamdiAhmed SolimanAyman El-BazPublished in: Sensors (2021)
Keyphrases
- ct images
- medical images
- appearance model
- anatomical knowledge
- medical imaging
- computed tomography
- pet ct
- lung parenchyma
- anatomical structures
- lung nodules
- ct scans
- computer tomography
- fracture detection
- ground glass opacity
- active appearance models
- object tracking
- mr images
- imaging modalities
- computer aided diagnosis
- particle filter
- magnetic resonance images
- region of interest
- multiscale
- deformable models
- magnetic resonance imaging
- image segmentation
- pulmonary nodules
- pet images
- active shape model
- x ray images
- lymph nodes
- image processing
- ct data
- segmentation method
- x ray
- level set
- treatment planning
- computer vision
- energy function
- segmentation algorithm