Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients.
Faeze GholamiankhahSamaneh MostafapourNouraddin Abdi GoushbolaghSeyedjafar ShojaerazaviParvaneh LayeghSeyyed Mohammad TabatabaeiHossein ArabiPublished in: CoRR (2021)
Keyphrases
- ct images
- medical images
- ct scans
- medical imaging
- pet ct
- computed tomography
- automated segmentation
- liver segmentation
- traumatic brain injury
- fracture detection
- lung parenchyma
- lung nodules
- traumatic pelvic
- computer tomography
- ground glass opacity
- medical data
- chronic obstructive pulmonary disease
- pet images
- region of interest
- lymph nodes
- nodule detection
- medical image segmentation
- ct data
- image segmentation
- segmentation algorithm
- magnetic resonance images
- x ray
- lung cancer
- level set
- treatment planning
- ct imaging
- medical image processing
- pulmonary nodules
- image guided
- contrast enhanced
- accurate segmentation
- medical diagnosis
- x ray images
- mr images
- image analysis
- imaging modalities
- lung disease
- computer aided diagnosis
- magnetic resonance
- computer aided
- fully automatic
- image registration