COVID-19 Volumetric Pulmonary Lesion Estimation on CT Images using a U-NET and Probabilistic Active Contour Segmentation.
Leopoldo Cendejas-ZaragozaDiomar E. Rodriguez-ObregonAldo R. Mejía-RodríguezEdgar R. Arce SantanaAlejandro Santos-DíazPublished in: EMBC (2021)
Keyphrases
- ct images
- ct scans
- computed tomography
- pet images
- active contour segmentation
- lung parenchyma
- region of interest
- medical images
- computer tomography
- medical imaging
- multislice
- chronic obstructive pulmonary disease
- ultrasound images
- rigid registration
- lung nodules
- x ray
- automated segmentation
- pet ct
- active contours
- treatment planning
- pulmonary nodules
- three dimensional
- fracture detection
- volumetric data
- image reconstruction
- pattern recognition