Table 4 Performance comparison of the proposed framework with the existing literature
From: Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer
Research Works | Methodology | Overall Accuracy (%) |
|---|---|---|
Wei et al. [9] | Bi-Convolutional Neural Network | 97.97 |
Faisal et al. [7] | Gradient boosting with majority voting | 90 |
Khuriwal et al. [10] | Adaptive voting based Ensemble model | 98 |
Rajaraman et al. [38] | Stack based Ensemble approach | 98.07 |
Naji et al. [5] | Majority voting based Ensemble with machine learning algorithms | 98.1 |
Bhowal et al. [12] | Choquet fuzzy integral based Ensemble using deep learning | 95 |
Proposed Work | ResNet50 with Fuzzy Ranking Ensemble using modified Gompertz function | 98.986 |