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: CoRR (2020)
Keyphrases
- weakly supervised
- ct images
- segmentation method
- fully automatic
- medical images
- region of interest
- segmentation algorithm
- pet ct
- energy function
- pairwise
- prior knowledge
- medical imaging
- feature extraction
- superpixels
- prior information
- multiple objects
- fracture detection
- feature selection
- test images
- graph cuts
- probabilistic model
- viewpoint
- multiscale
- image segmentation