Table 3 Comparison of our proposed MPBG biomarkers with state-of-the-art methods based on s-MRI and d-MRI using a similar ADNI2 dataset.
From: Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Method | Subjects | Feature | Classifier | Classification ACC | ||||
|---|---|---|---|---|---|---|---|---|
CN | eMCI | lMCI | AD | CN/AD | eMCI/lMCI | |||
Nir et al.93 | 44 | 74 | 39 | 23 | Tractography | SVM | 84.9% | n/a |
Prasad et al.60 | 50 | 74 | 38 | 38 | Connectivity network | SVM | 78.2% | 63.4% |
Zhan et al.94 | n/a | 73 | 39 | n/a | Connectivity network | SLG | n/a | 65.0% |
Maggipinto et al.96 | 50 | 22 | 18 | 50 | Voxel-based | RF | 87.0% | n/a |
La Rocca et al.95 | 52 | 85 | 38 | 47 | Connectivity network | RF | 83.0% | n/a |
MPBG hippocampus | 62 | 65 | 34 | 38 | Patch-based | LDA | 88.1% | 68.8% |
MPBG Subiculum | 62 | 65 | 34 | 38 | Patch-based | LDA | 86.5% | 70.8% |
