Feature Selection and Performance Evaluation of Support Vector Machine (SVM)-Based Classifier for Differentiating Benign and Malignant Pulmonary Nodules by Computed Tomography.
Yanjie ZhuYongqiang TanYanqing HuaMingpeng WangGuozhen ZhangJianguo ZhangPublished in: J. Digit. Imaging (2010)
Keyphrases
- pulmonary nodules
- support vector machine
- benign and malignant
- computed tomography
- feature selection
- ct images
- ct scans
- support vector
- medical images
- medical imaging
- computer aided
- image reconstruction
- feature space
- lung nodules
- three dimensional
- feature set
- ct data
- computer aided diagnosis
- machine learning
- knn
- training data
- feature vectors
- classification accuracy
- lung cancer
- feature extraction
- training set
- anatomical structures
- x ray
- region of interest
- medical image processing
- motion estimation
- image processing