Table 14 Performance data comparison for existing and proposed methods.
Paper ID | Dataset | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|
Al-Jabbar et al.1 | LC25000 | 99.64% | 99.35% | 99.50% | 99.43% |
Omar et al.2 | LC25000 | 99.44% | 99.20% | 99.25% | 99.23% |
Uddin et al.3 | LC25000 | 99.53% | 99.40% | 99.50% | 99.45% |
Ijaz et al.4 | LC25000 | 98.73% | 98.56% | 98.65% | 98.60% |
Elshamy et al.5 | Kather texture dataset | 98.07% | 97.85% | 97.95% | 97.90% |
Kadirappa et al.6 | LC25000 | 99.80% | 99.60% | 99.50% | 99.55% |
Hamed et al.7 | LC25000 | 99.60% | 99.45% | 99.50% | 99.47% |
Liu and Li8 | Biopsy Specimens | 98.50% | 98.25% | 98.30% | 98.28% |
Proposed Trained HandEffTrans-4 | LC25000 | 99.60% | 100% | 99.90% | 99.95% |
Proposed Trained HandEffTrans-5 | LC25000 | 99.87% | 100% | 99.90% | 99.95% |
