Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography.
Elizabeth S. BurnsideDaniel L. RubinRoss D. ShachterPublished in: CARS (2004)
Keyphrases
- breast cancer
- bayesian networks
- digital mammograms
- computer aided diagnosis
- early detection
- logistic regression
- breast cancer diagnosis
- probability distribution
- conditional probabilities
- benign and malignant
- receiver operating characteristic
- mammographic images
- probabilistic inference
- graphical models
- incomplete data
- posterior probability
- early detection of breast cancer
- breast cancer detection
- structure learning
- inference in bayesian networks
- cad systems
- learning bayesian networks
- bayesian network inference
- neural network
- decision trees