Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques.
Sara LaghmatiBouchaib CherradiAmal TmiriOthmane DaanouniSoufiane HamidaPublished in: CommNet (2020)
Keyphrases
- breast cancer
- component analysis
- breast cancer patients
- breast cancer diagnosis
- bladder cancer
- mammogram images
- computer aided detection
- diagnosis of breast cancer
- benign and malignant
- cancer patients
- outcome prediction
- microcalcification clusters
- computer aided diagnosis
- logistic regression
- factor analysis
- classification accuracy
- breast tissue
- decision trees
- cancer datasets
- blind source separation
- pattern recognition
- machine learning
- support vector
- survival analysis
- feature vectors
- medical data
- disease progression
- feature extraction
- support vector machine svm
- clinical data
- non stationary
- model selection
- image classification
- supervised learning
- similarity measure
- face recognition
- feature selection