A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning - Lu, Wei; Li, Zhe; Chu, Jinghui (Computers in biology and medicine, 2017)
Keywords: Accuracy; Algorithms; Artificial intelligence; Benign; Breast cancer; Breast Neoplasms - diagnostic imaging; Breast Neoplasms - pathology; Breasts; Classification; Classification systems; Computed tomography; Computer applications; Computer-aided diagnosis; Data mining; Data processing; Diagnosis; Ensemble learning; Feature extraction; Feature selection; Female; Humans; Image Interpretation, Computer-Assisted - methods; Image processing; Imaging techniques; Internal Medicine; Learning algorithms; Machine Learning; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Mammography; Medical diagnosis; Medical imaging; Medical science; Morphology; Mortality; MRI; Neural networks; NMR; Nuclear magnetic resonance; Other; Pattern recognition; Pattern Recognition, Automated - methods; Positron emission tomography; Reproducibility of Results; Researchers; Segmentation; Sensitivity and Specificity; Subspace methods; Subspaces; Texture; Tumors; Ultrasound; Feature selection; Breast cancer; Ensemble learning; MRI; Computer-aided diagnosis; Classification