Table 8 Performance metrics of ResNet101 using transfer learning.
From: Lightweight neural network for smart diagnosis of cholangiocarcinoma using histopathological images
Performance metrics | Epochs | |||
|---|---|---|---|---|
50 | 100 | 150 | 200 | |
Accuracy (max. %) Validation accuracy (max. %) | 40.40 45.10 | 41.55 46.66 | 41.68 47.83 | 44.94 48.26 |
Precision (max. %) Validation precision (max. %) | 98.40 100 | 100 100 | 100 100 | 100 100 |
Recall (max. %) Validation recall (max. %) | 6.93 8.65 | 8.75 10.21 | 9.05 10.11 | 15.25 17.74 |
Loss (min.) Validation loss (min.) | 1.0642 1.0412 | 1.0577 1.0330 | 1.0544 1.0234 | 1.0302 1.0102 |
