A deep learning algorithm for reducing false positives in screening mammography.
Stefano PedemonteTrevor TsueBrent MombourquetteYen Nhi Truong VuThomas Paul MatthewsRodrigo Morales HoilMeet ShahNikita GhareNaomi Zingman-DanielsSusan HolleyCatherine M. AppletonJason SuRichard L. WahlPublished in: CoRR (2022)
Keyphrases
- false positives
- learning algorithm
- breast cancer detection
- false negative
- detection rate
- false positive rate
- true positive
- breast cancer
- number of false positives
- low false positive rate
- computer aided
- machine learning
- generalization ability
- training samples
- machine learning algorithms
- active learning
- reinforcement learning
- training data
- supervised learning
- multi class
- cancer detection
- false alarms
- training examples
- image analysis
- learning scheme
- learning process
- learning tasks
- x ray
- feature selection
- detection accuracy
- feature space
- deep learning
- digital mammograms
- neural network
- early detection of breast cancer