Research Article
A High-Precision Classification Method of Mammary Cancer Based on Improved DenseNet Driven by an Attention Mechanism
Table 4
Classification accuracy of different models for images with different magnifications.
| Network model | The experimental type | Accuracy of different magnification (%) | 40x | 100x | 200x | 400x |
| DenseNet121 | Binary classification | 90.90 | 90.01 | 91.91 | 91.66 | Multiclass classification | 82.24 | 79.19 | 81.23 | 83.30 |
| MFSCNet A | Binary classification | 99.51 | 99.46 | 99.89 | 99.05 | Multiclass classification | 97.13 | 94.36 | 98.41 | 95.96 |
| MFSCNet B | Binary classification | 98.97 | 98.55 | 98.06 | 99.32 | Multiclass classification | 93.01 | 93.73 | 94.05 | 91.76 |
| MFSCNet C | Binary classification | 99.36 | 99.05 | 99.00 | 98.81 | Multiclass classification | 92.91 | 92.03 | 91.47 | 92.51 |
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