Table 2.
Classification results for AD vs. NC with different kinds of feature representations.
| Feature representation | OFMROI | OFMnetwork | CFM ROI | CFM network | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Parameters setting | E1 = 2 | E1 = 3 | E1 = 4 | E1 = 2 | E1 = 3 | E1 = 4 | ||||||||||||||
| E2 = 1 | E2 = 2 | E2 = 3 | E2 = 4 | E2 = 5 | E2 = 1 | E2 = 2 | E2 = 3 | E2 = 4 | E2 = 5 | E2 = 1 | E2 = 2 | E2 = 3 | E2 = 4 | E2 = 5 | ||||||
| ACC (%) | 69.21 | 71.29 | 73.51 | 71.77 | 68.27 | 71.2 | 76.84 | 81.72 | 76.09 | 70.85 | 85.02 | 90.44 | 83.3 | 77.94 | 72.47 | 77.47 | 87.32 | 81.13 | 75.19 | 70.2 |
| SEN (%) | 67.29 | 67.72 | 69.32 | 69.57 | 64.03 | 68.67 | 74.12 | 76.75 | 72.41 | 68.29 | 82.28 | 88.5 | 81.08 | 74.04 | 68.01 | 79.4 | 85.72 | 77.42 | 71.01 | 67.18 |
| SPE (%) | 71.60 | 73.20 | 75.42 | 74.02 | 70.57 | 73.9 | 79.61 | 83.57 | 80.62 | 73.16 | 87.75 | 93.67 | 86.1 | 80.07 | 74.51 | 81.13 | 90.04 | 84.91 | 77.38 | 72.55 |
OFMROI, the original ROI-level feature representation; OFMnetwork, the original network-level feature representation; CFMROI, the coupled ROI-level feature representation; CFMnetwork, the two-level feature representation; Acc, accuracy; Sen, sensitivity; Spe, specificity. The values with the highest accuracy are highlighted in boldface. The shadow of gray color is used to visually differentiate columns of the table.