Uncertainty Measurements for the Reliable Classification of Mammograms.
Mickael TardyBruno SchefferDiana MateusPublished in: MICCAI (6) (2019)
Keyphrases
- classification accuracy
- pattern classification
- classification scheme
- data sets
- measurement noise
- decision rules
- feature space
- image classification
- supervised learning
- classification algorithm
- pattern recognition
- support vector
- automatic classification
- breast cancer
- cost effective
- neural network
- digital mammograms
- benchmark datasets
- text classification
- feature vectors
- unsupervised learning
- preprocessing
- classification rules
- digitized mammograms
- machine learning
- decision trees
- pixel classification
- feature extraction
- bayesian networks
- training set
- image analysis
- support vector machine
- cross validation
- machine learning algorithms
- text categorization