Article ID Journal Published Year Pages File Type
6905156 Applied Soft Computing 2015 12 Pages PDF
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
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