Deep Transfer Learning for Histopathological Diagnosis of Cervical Cancer Using Convolutional Neural Networks with Visualization Schemes.
Ying ChenXiaomin QinJingyu XiongShugong XuJun ShiHuabing LvLin LiHui XingQi ZhangPublished in: J. Medical Imaging Health Informatics (2020)
Keyphrases
- transfer learning
- convolutional neural networks
- cervical cancer
- learning tasks
- knowledge transfer
- computer aided diagnosis
- semi supervised learning
- labeled data
- active learning
- convolutional network
- machine learning
- reinforcement learning
- machine learning algorithms
- collaborative filtering
- manifold alignment
- transfer knowledge
- cross domain
- domain adaptation
- learning algorithm
- text categorization
- data analysis
- multi task
- target domain
- semi supervised
- text classification
- pattern recognition
- computer aided
- previously learned
- information retrieval