ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement.
Stine HansenSrishti GautamSuaiba Amina SalahuddinMichael KampffmeyerRobert JenssenPublished in: Medical Image Anal. (2023)
Keyphrases
- multi class
- medical images
- error correcting output codes
- medical imaging
- learning algorithm
- multi class classifier
- binary classification
- multi task
- mri images
- ct images
- multi class object detection
- cost sensitive
- support vector machine
- multi class classification
- multiple classes
- multi class boosting
- data sets
- x ray
- object detection
- magnetic resonance images
- active learning
- brain images
- feature vectors
- computer tomography
- image segmentation
- computer vision