Research Article
Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks
Table 5
Time comparison between our proposed DCNN and transfer learning models.
| Model | Time per epochs (seconds) | Total time (minutes) |
| VGG-16 | 24 ± 2 | 22 ± 1 | EfficientNetB0 | 19 ± 2 | 19 ± 1 | ResNet101V2 | 20 ± 2 | 19 ± 1 | ResNet5O | 21 ± 2 | 18 ± 1 | DenseNet121 | 18 ± 2 | 16 ± 1 | MobileNetV2 | 17 ± 2 | 16 ± 1 | Proposed DCNN | 9 ± 2 | 9 ± 1 |
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