Machine Learning for Uterine Cervix Screening.
Francesco MercaldoXiaoli ZhouPan HuangFabio MartinelliAntonella SantonePublished in: BIBE (2022)
Keyphrases
- cervical cancer
- machine learning
- computer aided diagnosis
- machine learning algorithms
- pattern recognition
- learning systems
- feature selection
- data mining
- knowledge acquisition
- computational intelligence
- learning algorithm
- early detection
- information extraction
- computer vision
- machine learning methods
- knowledge representation
- inductive learning
- medical images
- real time
- video sequences
- machine learning and data mining
- learning tasks
- breast cancer
- artificial intelligence
- information systems
- decision trees
- text mining
- natural language processing
- active learning
- natural language