Research Article
A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection
Table 5
Comparative study of the proposed model with recent ML/DL models.
| Publication | Cancer type | Models | Classification type | Data set | Accuracy (%) |
| [45] | Breast cancer | ANN | Binary class | SNPs | 69% | [46] | Colon carcinomatosis | BN | Binary class | Clinical, pathologic | 71% | [47] | Multiple myeloma | SVM, DCNN | Multi-class | DDSM (CBIS-DDSM) | 71%, 93% | [48] | Breast cancer | DCNNs | Bi-multi-class | Kaggle | 90%, 93% | [49] | Breast cancer | DCNNs | Multi-class | Wisconsin diagnostic breast cancer (WDBC) | 88% | [50] | Breast cancer | ResNet | Multi-class | Kaggle | 85% | [51] | Breast cancer | Pretrained CNN | Binary class | Kaggle | 90% | Proposed model | Breast cancer | AlexNet-GRU | Binary class | Kaggle | 99.50% |
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