A feature-fusion framework of clinical, genomics, and histopathological data for METABRIC breast cancer subtype classification.
Ala'a El-NabawyNashwa El-BendaryNahla A. BelalPublished in: Appl. Soft Comput. (2020)
Keyphrases
- breast cancer
- cancer datasets
- data sets
- bladder cancer
- training data
- breast cancer diagnosis
- data analysis
- feature vectors
- data sources
- image data
- support vector
- classification accuracy
- data mining and statistical
- cancer patients
- fusion framework
- raw data
- medical data
- text classification
- pairwise
- training set
- feature space
- decision trees
- machine learning