TABLE IV.
Comparison with state-of-the-art methods for ASD identification using rs-fMRI ABIDE data on NYU site. HOA: Harvard Oxford Atlas. GMR: Gray Matter ROIS; AAL: Anatomical Automatic Labeling.
| Method | Feature Type | Feature Dimension | Classifier | ACC (%) | SEN (%) | SPE (%) | AUC (%) |
|---|---|---|---|---|---|---|---|
| sGCN + Hing Loss [15] | HOA | 111 × 111 | KNN | 60.50 | − | − | 57.00 |
| sGCN + Global Loss [15] | HOA | 111 × 111 | KNN | 63.50 | − | − | 61.00 |
| sGCN + Constrained Variance Loss [15] | HOA | 111 × 111 | KNN | 68.00 | − | − | 64.00 |
| FCA [18] | GMR | 7, 266 × 7, 266 | t-test | 63.00 | 72.00 | 58.00 | − |
| DAE [17] | CC200 Atlas | 19, 900 | Softmax Regression | 66.00 | 66.00 | 65.00 | − |
| maLRR (Ours) | AAL | 6, 670 | KNN | 73.44 | 75.79 | 69.52 | − |
| maLRR (Ours) | AAL | 6, 670 | SVM | 71.88 | 66.67 | 78.57 | 80.75 |