Table 9 Comparison of performance metrics (200 Epcohs).
From: Lightweight neural network for smart diagnosis of cholangiocarcinoma using histopathological images
Performance metrics | Epochs | ||||
|---|---|---|---|---|---|
VGG16 | VGG19 | ResNet50 | ResNet101 | CholangioNet | |
Accuracy (max. %) Validation accuracy (max. %) | 98.20 97.69 | 96.40 97.03 | 52.65 55.13 | 44.94 48.26 | 99.90 98.40 |
Precision (max. %) Validation precision (max. %) | 100 100 | 100 100 | 100 100 | 100 100 | 100 100 |
Recall (max. %) Validation recall (max. %) | 99.93 100 | 99.58 99.86 | 47.47 57.61 | 15.25 17.74 | 100 100 |
Loss (min.) Validation loss (min.) | 0.0537 0.1207 | 0.1018 0.1200 | 0.9478 0.9318 | 1.0302 1.0102 | 0.0037 0.0941 |
