Feature ranking based nested support vector machine ensemble for medical image classification

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 146-149

  Varol, Erdem ^a   Gaonkar, Bilwaj ^a   Erus, Guray ^a   Schultz, Robert ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Classification; Ensemble SVM; Feature ranking; MRI

Indexed keywords

ALZHEIMER'S DISEASE; AUTISM SPECTRUM DISORDERS; CLASS LABELS; DATA SETS; ENSEMBLE SVM; FEATURE RANKING; IMAGE VOXELS; LINEAR SUPPORT VECTOR MACHINES; MAGNETIC RESONANCE IMAGES; MEDICAL IMAGE CLASSIFICATION; NEUROLOGICAL DISEASE; NORMAL CONTROLS; SVM CLASSIFIERS; T-STATISTICS; TWO-STATE; VOTING MECHANISM; VOXEL INTENSITIES;

CLASSIFICATION (OF INFORMATION); IMAGE CLASSIFICATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

SUPPORT VECTOR MACHINES;

EID: 84864858363     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235505     Document Type: Conference Paper

References (13)

1. R. Cuingnet et al., "Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database.," Neuroimage, 2010.
2. S. Kloppel et al., "Automatic classification of mr scans in alzheimer's disease," Brain, 2008.
3. Y. Fan et al., "Compare: Classification of morphological patterns using adaptive regional elements," IEEE Trans. Med. Imaging, 2007.
4. L.Rokach, "Ensemble-based classifiers.," Artif. Intell. Rev., 2010.
5. H. Kim et al., "Constructing support vector machine ensemble," Pattern Recognition, 2003.
6. Y. Liu et al., "Boosting prediction accuracy on imbalanced datasets with svm ensembles," in Advances in Knowledge Discovery and Data Mining. 2006.
7. G. Zenobi et al., "Using diversity in preparing ensembles of classifiers based on different feature subsets to minimize generalization error," in Machine Learning: ECML 2001. 2001.
8. S.M. Smith et al., "Fast robust automated brain extraction," Human Brain Mapping, 2002.
9. J.G. Sled et al., "A nonparametric method for automatic correction of intensity nonuniformity in mri data," Medical Imaging, IEEE Transactions on, 1998.
10. D. Shen et al., "Hammer: hierarchical attribute matching mechanism for elastic registration," Medical Imaging, IEEE Transactions on, 2002.
11. C. Davatzikos et al., "Voxel-based morphometry using the ravens maps: Methods and validation using simulated longitudinal atrophy," NeuroImage, 2001.
12. G.M. McAlonan et al., "Mapping the brain in autism. a voxel-based mri study of volumetric differences and intercorrelations in autism," Brain, 2005.
13. J. Huang et al., "Using auc and accuracy in evaluating learning algorithms," Knowledge and Data Engineering, IEEE Transactions on, 2005.