Su-MICL: Severity-Guided Multiple Instance Curriculum Learning for Histopathology Image Interpretable Classification.
Mei YangZhiying XieZhaoxia WangYun YuanJue ZhangPublished in: IEEE Trans. Medical Imaging (2022)
Keyphrases
- multiple instance
- image classification
- supervised learning
- learning problems
- learning process
- image data
- image features
- image retrieval
- pattern classification
- concept learning
- machine learning
- learning tasks
- unsupervised learning
- image segmentation
- multiple instance learning
- decision trees
- image content
- feature vectors
- background knowledge
- training samples
- semi supervised learning
- image representation
- real valued
- genetic programming
- active learning
- relational learning