A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.
Issam H. LaradjiPau RodríguezFrederic Branchaud-CharronKeegan LensinkParmida AtighehchianWilliam ParkerDavid VázquezDerek NowrouzezahraiPublished in: CoRR (2020)
Keyphrases
- ct images
- active learning
- segmentation method
- weakly supervised
- fully automatic
- energy function
- pet ct
- medical imaging
- image segmentation
- prior knowledge
- pairwise
- segmentation algorithm
- medical images
- prior information
- computed tomography
- co occurrence
- probabilistic model
- region of interest
- image sequences
- three dimensional