Table 7 Model comparison on SIPaKMeD WSI data classification.
Author | Year | Method | Accuracy (%) | |
|---|---|---|---|---|
2-class | 5-class | |||
Kiran37 | 2019 | ResNet-34 + PCA + Classifier | - | 96.37 |
Win26 | 2020 | Ensemble Method | 98.27 | 94.09 |
Wang45 | 2021 | DenseNet-121 + RCAN | - | 91.09 |
Hardatin66 | 2021 | ResNet-50 | - | 91 |
Manna67 | 2021 | Xception + Inception-v3 + DenseNet-169 | 98.55 | 95.43 |
Kutty68 | 2022 | Correlation-based features + RF | - | 97.01 |
Chauhan51 | 2023 | HDFCN | 99.29 | 97.45 |
Yadav69 | 2023 | Topo-ML | - | 94.21 |
Khanarsa70 | 2024 | Ensemble Approach (ResNet152V2) | - | 97 |
This work | 2024 | Proposed Method | 99.29 | 98.47 |
