Classification of Microcalcifications in Mammograms using 2D Discrete Wavelet Transform and Random Forest.
Rabie FadilAndie JacksonBadr Abou El MajdHassan El GhaziNaima KaabouchPublished in: EIT (2020)
Keyphrases
- random forest
- decision trees
- digitized mammograms
- digital mammograms
- feature set
- fold cross validation
- microcalcification clusters
- random forests
- cancer classification
- breast cancer
- decision tree learning algorithms
- ensemble classifier
- mammographic images
- classification accuracy
- machine learning
- ensemble methods
- supervised learning
- detection of clustered microcalcifications
- feature importance
- benchmark datasets
- classification models
- feature vectors
- support vector
- feature extraction
- benign and malignant
- multi label
- support vector machine svm
- image classification
- feature space
- feature selection
- classification algorithm
- machine learning algorithms
- text classification
- training data