Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification.
Miguel López-PérezPablo Morales-ÁlvarezLee A. D. CooperRafael MolinaAggelos K. KatsaggelosPublished in: IEEE Access (2023)
Keyphrases
- tissue classification
- breast cancer
- gaussian processes
- breast tissue
- breast cancer diagnosis
- bladder cancer
- computer aided detection
- gaussian process
- diagnosis of breast cancer
- mammogram images
- microcalcification clusters
- logistic regression
- gaussian process models
- survival analysis
- computer aided diagnosis
- decision trees
- support vector
- text classification
- breast cancer patients
- machine learning
- feature vectors
- knowledge discovery
- feature selection
- image segmentation
- cancer patients
- supervised learning
- hyperparameters
- multi task
- incremental learning
- cross validation