Research Article
[Retracted] Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images
Table 3
Comparative analysis of SEODTL-BDC technique with recent approaches under Training/Testing -70 : 30.
| Methods | Precision | Recall | Accuracy | -score | Classification time (m) |
| SEODTL-BDC | 0.9890 | 0.9890 | 0.9940 | 0.9890 | 1.1420 | ESD model | 0.9820 | 0.9830 | 0.9900 | 0.9820 | 2.7850 | LSVM model | 0.9810 | 0.9790 | 0.9910 | 0.9810 | 2.0100 | ESKNN model | 0.9800 | 0.9810 | 0.9810 | 0.9800 | 2.3620 | FKNN algorithm | 0.9770 | 0.9770 | 0.9770 | 0.9770 | 2.0720 | LD algorithm | 0.9760 | 0.9760 | 0.9770 | 0.9760 | 2.1920 |
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