A Support Vector Machine based Prediction Model for Discrimination of Malignant Pulmonary Nodules from Benign Nodules.
Yan WuEmmanuel ZachariahJudith AmorosaAnjani NaiduMina L. LabibJamil ShaikhDonna EcksteinSinae KimJohn E. LangenfeldJoseph AisnerJohn L. NosherRobert S. DiPaolaDavid J. ForanPublished in: BIOIMAGING (2016)
Keyphrases
- prediction model
- pulmonary nodules
- benign and malignant
- computer aided
- ct images
- differential diagnosis
- thoracic ct images
- computer aided detection
- computer aided diagnosis
- lung cancer
- regression model
- ct scans
- neural network
- breast cancer
- lung nodules
- nodule detection
- feature selection
- medical domain
- medical image processing
- receiver operating characteristic
- ls svm
- computed tomography
- pattern recognition
- lung parenchyma
- logistic regression
- decision trees
- ground glass opacity