Table 6 Detailed metrics for cell class identification—(70:30 split)
From: A graph neural network framework for mapping histological topology in oral mucosal tissue
| Â | Precision | Recall | F1 | Support |
|---|---|---|---|---|
EfficientNet (Stage 1)—Validation Set | ||||
 Inflammatory | 0.99 | 1.00 | 1.00 | 2534 |
 Lymphocyte | 0.97 | 1.00 | 0.99 | 7036 |
 Fibroblast/Endothelial | 0.98 | 0.97 | 0.97 | 6739 |
 Epithelial | 0.98 | 0.97 | 0.97 | 4286 |
 Accuracy |  |  | 0.98 | 20595 |
EfficientNet (Stage 1)—Test Set | ||||
 Inflammatory | 0.06 | 0.05 | 0.05 | 401 |
 Lymphocyte | 0.68 | 0.33 | 0.45 | 4479 |
 Fibroblast/Endothelial | 0.62 | 0.79 | 0.69 | 6433 |
 Epithelial | 0.83 | 0.90 | 0.86 | 7882 |
 Accuracy |  |  | 0.71 | 19195 |