A pathology-based diagnosis and prognosis intelligent system for oral squamous cell carcinoma using semi-supervised learning.
Jiaying ZhouHaoyuan WuXiaojing HongYunyi HuangBo JiaJiabin LuBin ChengMeng XuMeng YangTong WuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- semi supervised learning
- intelligent systems
- fault diagnosis
- cancer cells
- semi supervised
- unlabeled data
- labeled data
- computational intelligence
- early detection
- expert systems
- training data
- artificial intelligence
- supervised learning
- semi supervised classification
- label propagation
- machine learning
- manifold regularization
- graph based semi supervised learning
- transfer learning
- breast cancer
- active learning
- co training
- learning models
- genetic algorithm
- text classification
- graph construction
- semi supervised learning algorithms
- semi supervised learning methods
- artificial neural networks