Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification.
Azam HamidinekooZobia SuhailTalha QaiserReyer ZwiggelaarPublished in: MIUA (2017)
Keyphrases
- convolutional neural network
- input data
- support vector
- classification accuracy
- decision trees
- digitized mammograms
- pattern classification
- face detection
- classification algorithm
- automatic classification
- classification systems
- image analysis
- feature space
- pattern recognition
- feature selection
- data sets
- training set
- feature extraction
- classification scheme
- machine learning
- classification models
- classification process
- neural network
- machine learning methods
- support vector machine
- classification rules
- breast cancer
- decision rules
- svm classifier
- class labels
- machine learning algorithms
- image classification
- supervised learning
- roc analysis
- computer aided detection
- tissue classification
- digital mammograms
- mammographic images
- image data