Table 1 Comparison of existing breast cancer classification methods.
From: An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model
Technique | Dataset used | Accuracy (%) | Feature extraction | Optimization/enhancement | Novelty |
|---|---|---|---|---|---|
SVM + PCA | WBCD | 94.2 | PCA-based reduction | None | Traditional ML pipeline |
CNN | BreakHis | 96.1 | End-to-end CNN | None | Deep learning approach |
Hybrid CNN + GWO | MIAS | 97.3 | CNN + handcrafted features | GWO | Bio-inspired optimizer |
ResNet + GA | WBCD + custom | 98 | Deep ResNet | Genetic Algorithm | Genetic tuning improves generalization |
FS-ResNetCNN + AGWOA | BreakHis + WBCD | 98.7 | Fuzzy scoring + ResNet | Adaptive GWO | Hybrid fuzzy-deep model with adaptive metaheuristic |
