Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
496228 | Applied Soft Computing | 2013 | 10 Pages |
Abstract
- We extract four feature representations for the ultrasonic liver tissue characterization and use four different classification algorithms.
- The proposed algorithm can form an ensemble with good generalization performance.
- The combination of multiple classifiers with different features is an effective approach to characterize ultrasonic liver tissue.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Wen-Li Lee,