A Multi-Stage Progressive Learning Strategy for Covid-19 Diagnosis Using Chest Computed Tomography with Imbalanced Data.
Zaifeng YangYubo HouZhenghua ChenLe ZhangJie ChenPublished in: ICASSP (2021)
Keyphrases
- computed tomography
- multistage
- learning strategies
- imbalanced data
- ct images
- image reconstruction
- medical images
- medical imaging
- ct scans
- three dimensional
- online learning
- dynamic programming
- ct data
- low dose
- linear regression
- ensemble methods
- class distribution
- active learning
- feature selection
- sampling methods
- class imbalance
- support vector machine
- x ray
- minority class
- random forest
- computer aided diagnosis
- neural network
- lung nodules
- machine learning methods
- base classifiers
- high dimensionality
- optimal policy
- sufficient conditions
- least squares
- image processing
- learning algorithm