Sakri et al. [9] |
REPTree, NB, and KNN-IBK with PSO |
WPBC |
Accuracy: 81.3%, Precision: 88.3%, Recall: 93.4%, F-Score: 87.7%, AUC: 0.820 |
Alom et al. [10] |
Inception-v4, ResNet, and RCNN |
BreakHis and BCD |
Accuracy: 100%, Sensitivity: 100%, Specificity: 100%, AUC: 1.0 |
Hong et al. [11] |
LR and Gaussian mixture |
TCGA_TNBC, GEOD-40525, GSE40049 and GSE19783
|
AUC (GSE40049): 0.89, AUC (GSE19783): 0.90 |
Yan et al. [12] |
LR |
BCC at HMUCH |
AUC (HER2-Positive): 0.820, AUC (TNBC): 0.785 |
Mosayebi et al. [13] |
RF, LVQ, NB, C5.0 DT, MLP, KPCA-SVM, and SVM |
MHME-ICRC |
Accuracy: 81.9%, Sensitivity: 86.9%, Specificity:77.7%, F-Value: 81.6%, AUC: 0.774 |
Comes et al. [14] |
CNN and SVM |
I-SPY1 TRIAL and BREAST-MRI-NACT-Pilot |
Accuracy: 85.2%, Sensitivity: 84.6%, AUC: 0.83 |
Sanyal et al. [15] |
LSTM and XGBoost |
Manually and NLP-curated |
Sensitivity: 89.0%, Specificity: 84.0%, AUC: 0.94 |
Conde-Sousa et al. [16] |
DL |
HEROHE |
Precision: 79%, Recall: 100%, F-Value: 79%, AUC: 0.88 |
Rabinovici-Cohen et al. [17] |
CNN |
Real-World Retrospective Dataset |
Specificity: 57%, F-Value: 56%, Balanced Accuracy: 72%, PPV: 41%, NPV: 96%, Sensitivity: 93%, AUC: 0.75 |
Liu et al. [18] |
RF, LR, and XGBoost |
Clinical dataset |
Accuracy: 80%, Precision: 40%, Recall: 75%, F-Value: 50%, AUC: 0.75 |
TCGA |
Accuracy: 73%, Precision: 33%, Recall: 60%, F-Value: 42%, AUC: 0.72 |
Yang et al. [19] |
CNN and ResNet50 |
CAMS |
AUC: 0.76 |
TCGA |
AUC: 0.72 |
Lu et al. [20] |
GNN-based Slide Graph |
TCGA |
AUC: 0.75 |
HER2C and Nott-HER2 |
AUC: 0.80 |
Su et al. [21] |
CNN |
H&E and Ki67 |
Accuracy: 80%, F-Value: 79.2%, AUC: 0.811 |
Liu et al. [22] |
XGBoost |
AEHWU |
R-Square (CVDA): 0.9993, R-Square (Kmax): 0.9888 |
Botlagunta et al. [23] |
LR, KNN, DT, RF, SVM, GB, and XGBoost |
Medical data on MBC |
Accuracy: 83%, Precision: 83%, Recall: 100%, F-Value: 85%, AUC: 0.87 |
Dammu et al. [24] |
CNN |
I-SPY-1 TRIAL |
Accuracy: 81%, Sensitivity: 68%, Specificity: 97%, F-Value: 76%, AUC: 0.83 |