Federated contrastive learning models for prostate cancer diagnosis and Gleason grading.
Fei KongJinxi XiangXiyue WangXinran WangMeng YueJun ZhangSen YangJunhan ZhaoXiao HanYuhan DongYueping LiuPublished in: CoRR (2023)
Keyphrases
- learning models
- cancer diagnosis
- prostate cancer
- microarray
- lung cancer
- computer aided
- learning algorithm
- machine learning
- loss function
- cancer classification
- semi supervised learning
- mr images
- learning tasks
- gene selection
- machine learning algorithms
- conditional random fields
- learning problems
- gene expression
- gene expression profiles
- gene expression data
- nearest neighbor
- classification models
- reinforcement learning
- text mining
- support vector