A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images.
Issam H. LaradjiPau RodríguezOscar MañasKeegan LensinkMarco LawLironne KurzmanWilliam ParkerDavid VázquezDerek NowrouzezahraiPublished in: WACV (2021)
Keyphrases
- weakly supervised
- ct images
- segmentation method
- segmentation algorithm
- prior knowledge
- fully automatic
- medical images
- ct scans
- active learning
- probabilistic model
- region of interest
- image segmentation
- object detectors
- superpixels
- computed tomography
- medical imaging
- feature set
- support vector machine
- feature space
- three dimensional
- energy function
- natural images
- object detection
- prior information
- input image
- feature selection
- vessel segmentation