Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy.
Firat ÖzdemirZixuan PengChristine TannerPhilipp FürnstahlOrçun GökselPublished in: DLMIA/ML-CDS@MICCAI (2018)
Keyphrases
- active learning
- segmentation algorithm
- image segmentation
- medical images
- random sampling
- mutual information
- segmentation accuracy
- segmentation method
- segmentation errors
- level set
- grey level
- magnetic resonance images
- information theoretic
- multiscale
- object segmentation
- information theory
- image regions
- brain mri
- region growing
- motion segmentation
- learning algorithm
- training examples
- semi supervised learning
- information entropy
- supervised learning
- semi supervised
- optimal segmentation