Automated detection of pulmonary nodules in CT: false positive reduction by combining multiple classifiers.
Jorge Juan Suárez-CuencaWei GuoQiang LiPublished in: Medical Imaging: Computer-Aided Diagnosis (2011)
Keyphrases
- pulmonary nodules
- automated detection
- combining multiple
- false positives
- lung cancer
- multiple classifiers
- individual classifiers
- combining classifiers
- false negative
- thoracic ct images
- true positive
- detection rate
- false positive rate
- roc curve
- ct images
- support vector
- computer aided
- ground glass opacity
- lung parenchyma
- training data
- machine learning methods
- decision trees
- risk factors
- automated analysis
- classifier combination
- ct scans
- medical image processing
- training set
- computer aided diagnosis
- computed tomography
- benchmark datasets
- naive bayes
- data analysis
- three dimensional
- data mining