A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment.
Tal Ben-HaimRon Moshe SoferGal Ben-ArieIlan ShelefTammy Riklin-RavivPublished in: CoRR (2022)
Keyphrases
- ensemble learning
- ct images
- medical images
- lung parenchyma
- computed tomography
- ground glass opacity
- generalization ability
- medical imaging
- ct data
- ct scans
- ensemble methods
- lung nodules
- lung disease
- image analysis
- concept drift
- mutual subspace method
- random forest
- image segmentation
- x ray
- automatic segmentation
- pulmonary nodules
- data sets
- base classifiers
- non stationary
- lung cancer
- learning process
- decision trees
- image processing
- machine learning