ADHD Classification on ADHD-200 consortium
85.38AccuracyKuttala et al.
Evaluation Results
| Method | Links | |
|---|---|---|
| Kuttala et al.Sample (ADHD/HC)=77 / 94, Features=Multilayer Perceptron, Classifier(s)=Dense Attentive GAN, Bio-markers=No2026.03 | 85.38 | |
| DuSCN-FusionNetSample (ADHD/HC)=78 / 116, Features=SCNs + IQR + Global Features, Classifier(s)=CNN-MLP, Bio-markers=Yes2026.03 | 80.59 | |
| Wang et al.Sample (ADHD/HC)=146 / 441, Features=Raw sMRI, Classifier(s)=3D MVA-CNN, Bio-markers=No2026.03 | 78.8 | |
| Zou et al.Sample (ADHD/HC)=197 / 362, Features=GM, WM, CSF, Classifier(s)=3D CNN, Bio-markers=No2026.03 | 65.86 |