Research Article
[Retracted] Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images
Table 4
Comparative analysis of SEODTL-BDC technique with recent approaches under training/testing -60 : 40.
| Methods | Precision | Recall | Accuracy | -score | Classification time (m) |
| SEODTL-BDC | 0.9840 | 0.9820 | 0.9920 | 0.9830 | 1.0920 | ESD model | 0.9870 | 0.9860 | 0.9870 | 0.9870 | 1.5720 | LSVM model | 0.9850 | 0.9850 | 0.9860 | 0.9850 | 1.1470 | ESKNN model | 0.9800 | 0.9790 | 0.9800 | 0.9800 | 1.3220 | FKNN algorithm | 0.9780 | 0.9780 | 0.9780 | 0.9820 | 1.4090 | LD algorithm | 0.9810 | 0.9810 | 0.9810 | 0.9840 | 1.4220 |
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