A dual branch deep neural network for classification and detection in mammograms.

Ran Bakalo Jacob Goldberger Rami Ben-Ari

Published 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