Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models.
Jakub BulerRafal BulerMaciej BobowiczMaria FerlinMarlena RygusikArkadiusz KwasigrochMichal GrochowskiPublished in: MMAR (2023)
Keyphrases
- breast cancer
- learning models
- classification models
- machine learning
- machine learning algorithms
- learning problems
- semi supervised learning
- classification accuracy
- logistic regression
- learning tasks
- learning algorithm
- pattern recognition
- supervised learning
- support vector
- loss function
- feature extraction
- decision trees
- feature vectors
- text classification
- feature selection
- labeled data
- conditional random fields
- data sets
- microarray
- support vector machine svm
- unsupervised learning
- image classification
- text mining
- training set
- bayesian networks