False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning.
Xiaping DuJiayu HuoYuanfang QiaoQian WangLichi ZhangPublished in: PRIME@MICCAI (2021)
Keyphrases
- semi supervised learning
- false positives
- cervical cancer
- false negative
- semi supervised
- unlabeled data
- detection rate
- labeled data
- microscopy images
- false positive rate
- unsupervised learning
- true positive
- supervised learning
- machine learning
- manifold regularization
- semi supervised classification
- co training
- label propagation
- training data
- semi supervised learning algorithms
- low false positive rate
- transfer learning
- active learning
- semi supervised learning methods
- decision trees
- learning models
- graph based semi supervised learning
- graph construction
- learning environment
- pattern recognition
- medical images