Table 3 Classification results on the original PMG dataset using the K-Fold method.
From: Automated detection of polymicrogyria in pediatric patients using deep learning
Architecture | Test Accuracy (%) | Test Precision (%) | Test Recall (%) | Mean Validation Loss | Std Dev ( ±) |
|---|---|---|---|---|---|
VGG-16 | 100.00 | 100.00 | 100.00 | 0.0020 | 0.0009 |
MobileNetV2 | 98.12 | 98.01 | 98.23 | 0.0882 | 0.0109 |
DenseNet-201 | 97.68 | 99.09 | 96.23 | 0.0793 | 0.0078 |
ResNet-50 | 96.02 | 96.32 | 95.68 | 0.1361 | 0.0203 |
ResNet-101 | 95.68 | 95.68 | 95.68 | 0.1519 | 0.0380 |
