Table 3 Binary classification of diseases based on all the brain structures.
From: Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes
Case | V-Net | UNETR | FS | |||
|---|---|---|---|---|---|---|
LR | XGBoost | LR | XGBoost | LR | XGBoost | |
Normal vs. PSP | \(\mathbf {0.89\pm 0.07}\) | \({0.86\pm 0.05}\) | \({0.89\pm 0.08}\) | \({0.84\pm 0.04}\) | \(\mathbf {0.89\pm 0.07}\) | \({0.87\pm 0.06}\) |
Normal vs. MSA-P | \({0.78\pm 0.04}\) | \({0.73\pm 0.003}^*\) | \(\mathbf {0.81\pm 0.03}\) | \({0.77\pm 0.04}\) | \({0.79\pm 0.001}\) | \(\mathbf {0.82\pm 0.01}\) |
Normal vs. MSA-C | \({0.90\pm 0.03}\) | \(\mathbf {0.93\pm 0.04}\) | \({0.85\pm 0.12}\) | \({0.90\pm 0.10}\) | \({0.88\pm 0.04}\) | \(\mathbf {0.95\pm 0.03}\) |
Normal vs. PD | \({0.60\pm 0.07}\) | \(\mathbf {0.66\pm 0.02}^*\) | \({0.60\pm 0.04}\) | \({0.60\pm 0.03}\) | \({0.65\pm 0.07}\) | \(\mathbf {0.70\pm 0.05}\) |
PD vs. PSP | \(\mathbf {0.80\pm 0.08}\) | \({0.78\pm 0.001}^*\) | \({0.77\pm 0.13}\) | \({0.75\pm 0.01}\) | \(\mathbf {0.77\pm 0.10}\) | \({0.76\pm 0.03}\) |
PD vs. MSA-P | \(\mathbf {0.76\pm 0.07}\) | \({0.66\pm 0.03}\) | \({0.71\pm 0.02}^*\) | \({0.68\pm 0.07}^*\) | \(\mathbf {0.79\pm 0.08}\) | \({0.71\pm 0.02}\) |
PD vs. MSA-C | \(\mathbf {0.91\pm 0.04}\) | \({0.87\pm 0.03}\) | \({0.80\pm 0.19}\) | \({0.80\pm 0.12}\) | \({0.89\pm 0.07}\) | \(\mathbf {0.91\pm 0.05}\) |
