Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905156 | Applied Soft Computing | 2015 | 12 Pages |
Abstract
- Hybrid models which include feature extraction, feature selection and classification for determining the disc abnormalities of the lumbar region have been developed.
- F-score based feature selection (FSFS) and correlation-based feature selection (CBFS) were used to select best discriminative features.
- The results obtained suggest that the proposed hybrid models can be safely used in the detection of disc abnormalities.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yavuz Unal, Kemal Polat, H. Erdinc Kocer, M. Hariharan,