Research Article
Alzheimer’s Disease Classification Based on Image Transformation and Features Fusion
Table 2
Experimental results of traditional and improved 3DPCANet.
| | Methods | Criteria | NC/SMC | NC/MCI | SMC/MCI | SMC/AD | MCI/AD | NC/AD | EMCI/LMCI |
| | mALFF+3DPCANet+SVM | Accuracy | 82.61% | 85.19% | 90.00% | 83.33% | 77.27% | 80.00% | 81.48% | | Sensitivity | 86.67% | 83.33% | 100.00% | 87.50% | 91.67% | 86.67% | 94.12% | | Specificity | 75.00% | 86.67% | 75.00% | 80.00% | 60.00% | 70.00% | 60.00% | | F1 | 86.67% | 83.33% | 92.31% | 82.35% | 81.48% | 83.87% | 86.49% | | AUC | 80.83% | 85.00% | 87.50% | 83.75% | 75.83% | 78.33% | 77.06% | | mALFF+improved 3DPCANet+SVM | Accuracy | 82.61% | 85.19% | 90.00% | 83.33% | 86.36% | 76.00% | 81.48% | | Sensitivity | 86.67% | 66.67% | 91.67% | 75.00% | 91.67% | 86.67% | 94.12% | | Specificity | 75.00% | 100.00% | 87.50% | 90.00% | 80.00% | 60.00% | 60.00% | | F1 | 86.67% | 80.00% | 91.67% | 80.00% | 88.00% | 81.25% | 86.49% | | AUC | 76.70% | 79.44% | 84.38% | 82.50% | 85.83% | 74.70% | 77.06% | | mReHo (0.01-0.08 Hz)+3DPCANet+SVM | Accuracy | 86.96% | 77.78% | 85.00% | 83.33% | 77.27% | 84.00% | 81.48% | | Sensitivity | 80.00% | 75.00% | 83.33% | 87.50% | 75.00% | 86.67% | 82.35% | | Specificity | 100.00% | 80.00% | 87.50% | 80.00% | 80.00% | 80.00% | 80.00% | | F1 | 88.89% | 75.00% | 86.96% | 82.35% | 78.26% | 86.67% | 84.85% | | AUC | 90.00% | 77.50% | 85.42% | 83.75% | 77.50% | 83.33% | 81.18% | | mReHo(0.01-0.04 Hz)+ improved 3DPCANet+SVM | Accuracy | 73.91% | 68.75% | 80.00% | 72.22% | 81.48% | 80.00% | 77.78% | | Sensitivity | 73.33% | 58.82% | 82.35% | 50.00% | 76.47% | 86.67% | 94.12% | | Specificity | 75.00% | 80.00% | 75.00% | 90.00% | 90.00% | 70.00% | 50.00% | | F1 | 78.57% | 66.67% | 84.85% | 61.54% | 83.87% | 83.87% | 84.21% | | AUC | 74.17% | 69.41% | 78.68% | 70.00% | 83.24% | 78.33% | 72.06% | | mReHo(0.01-0.08 Hz)+ improved 3DPCANet+SVM | Accuracy | 82.61% | 74.07% | 90.00% | 88.89% | 77.27% | 80.00% | 85.19% | | Sensitivity | 93.33% | 91.67% | 91.67% | 87.50% | 75.00% | 86.67% | 94.12% | | Specificity | 62.50% | 60.00% | 87.50% | 90.00% | 80.00% | 70.00% | 70.00% | | F1 | 87.50% | 75.86% | 91.67% | 87.50% | 78.26% | 83.87% | 88.89% | | AUC | 74.20% | 66.67% | 92.71% | 88.75% | 77.50% | 76.70% | 82.06% |
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