Table 9 Our RCC-ProbNet proposed model compared with state-of-the-art approaches.
From: A novel hybrid approach for multi stage kidney cancer diagnosis using RCC ProbNet
References | Proposed Technique | Dataset | Accuracy (%) |
|---|---|---|---|
KidneyEnsemble-Net | Kidney renal images dataset | 99.72 | |
LGBM model | CT images dataset | 99.00 | |
CIDL-DSSKC | CT image scans dataset | 97.73 | |
Transformer Ensemble | Dartmouth Kidney Cancer Histology Dataset | 98.51 | |
SVM, KNN, GB, ADA with Dimensionality Reduction | Public Renal MRI dataset | 93.30 | |
[Ours] | RCC-ProbNet | Kidney cancer images dataset | 99.93 |
