Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
Kelei HeWei ZhaoXingzhi XieWen JiMingxia LiuZhenyu TangFeng ShiYang GaoJun LiuJunfeng ZhangDinggang ShenPublished in: CoRR (2020)
Keyphrases
- ct images
- lung nodules
- multi instance
- medical images
- computed tomography
- pet ct
- medical imaging
- lung parenchyma
- ct scans
- fracture detection
- computer tomography
- supervised learning
- pattern recognition
- learning algorithm
- active learning
- real valued
- lung cancer
- image classification
- unsupervised learning
- image analysis
- traumatic pelvic
- computer vision
- support vector machine
- support vector
- feature extraction
- machine learning
- segmentation algorithm
- ground glass opacity
- feature selection
- image processing
- lung disease
- pet images
- accurate segmentation
- prior knowledge
- knn
- feature set
- x ray
- labeled data