Table 7 Performance comparison of some state-of-art methods and the proposed method on the biopsy image set
From: One-class kernel subspace ensemble for medical image classification
| Â | Classification accuracy | Error rate | AUC |
|---|---|---|---|
LSH | 87.38 | 13.62 | 88.97 |
CAS | 91.94 | 7.88 | 93.12 |
HF | 90.27 | 9.73 | 91.56 |
Proposed | 92.28 | 7.72 | 93.85 |