Research Article
Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model
Table 6
Performance measure results of the models with batch size 128.
| Models | No. of iteration | Specificity | Sensitivity | Training accuracy | Testing accuracy | Computational time in minutes |
| VGG19 | 100 | 97.73 | 97.98 | 97.76 | 97.88 | 211.2344 | MobileNet | 100 | 98.53 | 98.41 | 98.23 | 98.42 | 198.1212 | Xception | 100 | 98.65 | 98.82 | 98.85 | 98.73 | 194.2076 | ResNet50V2 | 100 | 98.56 | 98.87 | 98.76 | 98.37 | 193.1878 | InceptionV3 | 100 | 100 | 99.52 | 98.63 | 98.52 | 183.1881 | InceptionResNetV2 | 100 | 98.59 | 100 | 98.58 | 98.47 | 167.1242 | DenseNet201 | 100 | 98.84 | 99.28 | 98.98 | 98.85 | 164.3344 | DenseNet121 | 100 | 99.18 | 100 | 99.27 | 98.84 | 160.4033 | DenseNet121+ELM | 100 | 99.37 | 99.94 | 99.47 | 99.14 | 159.7731 |
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