Classification results under different settings on ADNI II dataset. The classification task is to classify HC and AD
Models . | Settings . | Accuracy . | Sensitivity . | Specificity . |
---|---|---|---|---|
GCN | Naive | 81.3% | 88.9% | 75.0% |
Extra input | 80.0% | 83.3% | 77.3% | |
Hard parameter sharing | 83.8% | 83.3% | 84.1% | |
Soft parameter sharing | 83.8% | 86.1% | 81.2% | |
LSTM | Naive | 78.8% | 86.1% | 72.7% |
Extra input | 80.0% | 80.6% | 79.5% | |
Hard parameter sharing | 81.3% | 77.8% | 84.1% | |
Soft parameter sharing | 85.0% | 80.6% | 88.6% | |
DS-GCN | Naive | 83.8% | 80.6% | 86.4% |
Extra input | 86.3% | 88.9% | 84.1% | |
Hard parameter sharing | 87.5% | 91.7% | 81.8% | |
Soft parameter sharing | 90.0% | 91.7% | 88.6% |
Models . | Settings . | Accuracy . | Sensitivity . | Specificity . |
---|---|---|---|---|
GCN | Naive | 81.3% | 88.9% | 75.0% |
Extra input | 80.0% | 83.3% | 77.3% | |
Hard parameter sharing | 83.8% | 83.3% | 84.1% | |
Soft parameter sharing | 83.8% | 86.1% | 81.2% | |
LSTM | Naive | 78.8% | 86.1% | 72.7% |
Extra input | 80.0% | 80.6% | 79.5% | |
Hard parameter sharing | 81.3% | 77.8% | 84.1% | |
Soft parameter sharing | 85.0% | 80.6% | 88.6% | |
DS-GCN | Naive | 83.8% | 80.6% | 86.4% |
Extra input | 86.3% | 88.9% | 84.1% | |
Hard parameter sharing | 87.5% | 91.7% | 81.8% | |
Soft parameter sharing | 90.0% | 91.7% | 88.6% |
Classification results under different settings on ADNI II dataset. The classification task is to classify HC and AD
Models . | Settings . | Accuracy . | Sensitivity . | Specificity . |
---|---|---|---|---|
GCN | Naive | 81.3% | 88.9% | 75.0% |
Extra input | 80.0% | 83.3% | 77.3% | |
Hard parameter sharing | 83.8% | 83.3% | 84.1% | |
Soft parameter sharing | 83.8% | 86.1% | 81.2% | |
LSTM | Naive | 78.8% | 86.1% | 72.7% |
Extra input | 80.0% | 80.6% | 79.5% | |
Hard parameter sharing | 81.3% | 77.8% | 84.1% | |
Soft parameter sharing | 85.0% | 80.6% | 88.6% | |
DS-GCN | Naive | 83.8% | 80.6% | 86.4% |
Extra input | 86.3% | 88.9% | 84.1% | |
Hard parameter sharing | 87.5% | 91.7% | 81.8% | |
Soft parameter sharing | 90.0% | 91.7% | 88.6% |
Models . | Settings . | Accuracy . | Sensitivity . | Specificity . |
---|---|---|---|---|
GCN | Naive | 81.3% | 88.9% | 75.0% |
Extra input | 80.0% | 83.3% | 77.3% | |
Hard parameter sharing | 83.8% | 83.3% | 84.1% | |
Soft parameter sharing | 83.8% | 86.1% | 81.2% | |
LSTM | Naive | 78.8% | 86.1% | 72.7% |
Extra input | 80.0% | 80.6% | 79.5% | |
Hard parameter sharing | 81.3% | 77.8% | 84.1% | |
Soft parameter sharing | 85.0% | 80.6% | 88.6% | |
DS-GCN | Naive | 83.8% | 80.6% | 86.4% |
Extra input | 86.3% | 88.9% | 84.1% | |
Hard parameter sharing | 87.5% | 91.7% | 81.8% | |
Soft parameter sharing | 90.0% | 91.7% | 88.6% |
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