SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations.
Xipeng PanJijun ChengFeihu HouRushi LanCheng LuLingqiao LiZhengyun FengHuadeng WangChanghong LiangZhenbing LiuXin ChenChu HanZaiyi LiuPublished in: Medical Image Anal. (2023)
Keyphrases
- cost sensitive
- multi task learning
- class imbalance
- cost sensitive classification
- cost sensitive learning
- class distribution
- multi class
- misclassification costs
- multi task
- binary classification
- multi class classification
- learning tasks
- active learning
- support vector machine
- naive bayes
- gaussian processes
- learning problems
- high order
- feature vectors
- image segmentation
- incremental learning
- supervised learning
- decision trees
- inductive learning
- learning models
- data sets
- semi supervised learning
- learning environment
- feature extraction