A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images.
Fuli YuYu ZhuXiangxiang QinYing XinDawei YangTao XuPublished in: IET Image Process. (2021)
Keyphrases
- multi class
- ct images
- medical images
- medical imaging
- liver segmentation
- computed tomography
- lung nodules
- pet ct
- fracture detection
- computer tomography
- ct scans
- pet images
- multi class classification
- lung parenchyma
- multiscale
- anatomical knowledge
- pairwise
- medical image segmentation
- medical image processing
- treatment planning
- cost sensitive
- level set
- edge detection
- ground glass opacity
- segmentation algorithm
- multiple classes
- region of interest
- support vector machine
- segmentation method
- object detection
- multi class classifier
- image segmentation
- lymph nodes
- magnetic resonance imaging
- base classifiers
- input image
- image registration
- image analysis
- image processing
- lung cancer
- magnetic resonance images
- pulmonary nodules
- feature selection
- image reconstruction
- lung disease
- traumatic brain injury
- high dimensional
- object recognition