Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images.
Xiaocong ChenLina YaoYu ZhangPublished in: CoRR (2020)
Keyphrases
- multi class
- ct images
- medical images
- lung nodules
- computed tomography
- medical imaging
- ct scans
- liver segmentation
- automated segmentation
- pet ct
- fracture detection
- computer tomography
- x ray
- pulmonary nodules
- x ray images
- lymph nodes
- multi class classification
- lung cancer
- pet images
- fully automatic
- region of interest
- pairwise
- anatomical structures
- treatment planning
- lung parenchyma
- magnetic resonance imaging
- ground glass opacity
- medical image processing
- support vector machine
- multiple classes
- traumatic pelvic
- imaging modalities
- computer aided diagnosis
- image segmentation
- feature selection
- multi class classifier
- ct data
- computer aided
- object detection
- mr images
- segmentation method
- level set
- base classifiers
- energy function
- image analysis
- feature space