Research Article
Unsupervised Scoliosis Diagnosis via a Joint Recognition Method with Multifeature Descriptors and Centroids Extraction
Table 2
The performance comparison of our methods and other related works.
| Methods | Evaluation criteria | Supervised classification forests [11] | Interpolation theory + shape-constrained [9] | Single-feature + CGAdaBoost-DRLSE | Multifeature + CGAdaBoost-DRLSE |
| Detection accuracy rate | 86% | 97% | 98% | 99% | Centroid location error | 4.4 mm | 1.1 mm | 1.51 mm | 0.87 mm |
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