A dual branch deep neural network for classification and detection in mammograms.
Ran BakaloJacob GoldbergerRami Ben-AriPublished in: CoRR (2019)
Keyphrases
- neural network
- microcalcification clusters
- digital mammograms
- learning vector quantization
- digitized mammograms
- pattern recognition
- mammogram images
- decision trees
- classification accuracy
- automatic classification
- machine learning
- training process
- feature set
- detection rate
- training patterns
- classification scheme
- neyman pearson
- detection of clustered microcalcifications
- false alarms
- pattern classification
- automatic detection
- classification method
- feature selection
- model selection
- linear programming
- image classification
- support vector
- supervised learning
- object detection
- multi layer perceptron
- training data
- kohonen self organizing map
- feature space
- training set
- benign and malignant
- artificial neural networks
- feature vectors
- support vector machine
- self organizing maps
- medical images
- detection algorithm
- classification rules
- false positives