Detection of Lesions Underlying Intractable Epilepsy on T1-Weighted MRI as an Outlier Detection Problem - El Azami, Meriem; Hammers, Alexander; Jung, Julien; Costes, Nicolas; Bouet, Romain; Lartizien, Carole (PloS one, 2016)
Keywords: Abnormalities; Algorithms; Biology and Life Sciences; Brain; Brain damage; Brain research; Classification; Computer and Information Sciences; Computer simulation; Data analysis; Deviation; Diagnosis; Diagnosis, Computer-Assisted; Drug Resistant Epilepsy - diagnosis; Drug Resistant Epilepsy - diagnostic imaging; Drug Resistant Epilepsy - physiopathology; Engineering and Technology; Epilepsy; Female; Humans; Image detection; Image Interpretation, Computer-Assisted; Learning algorithms; Lesions; Life Sciences; Machine learning; Magnetic resonance; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medical imaging; Medicine and Health Sciences; Methods; Multivariate analysis; Neural networks; Neurosciences; NMR; Nuclear magnetic resonance; Outliers (statistics); Patients; Pattern recognition; Pattern Recognition, Automated; Research and Analysis Methods; Science; Statistical analysis; Substantia alba; Support Vector Machine; Support vector machines; Systematic review; France