Table 3 Comparative analysis of MobileDANet and existing works (KMC dataset).
Methodology | Acc (%) | Pre (%) | Rec (%) | F1 score (%) |
|---|---|---|---|---|
ResNet5029 | 75.19 | 74.58 | 71.34 | 71.67 |
IncResV236 | 71.92 | 71.97 | 69.17 | 68.96 |
NASNet37 | 79.82 | 78.96 | 76.92 | 76.82 |
ShuffleNet38 | 83.94 | 83.51 | 81.57 | 81.62 |
BHCNet39 | 85.76 | 84.98 | 84.85 | 84.18 |
BreastNet40 | 84.67 | 85.54 | 84.72 | 84.93 |
LiverNet41 | 86.29 | 85.65 | 84.67 | 84.85 |
ViT30 | 81.85 | 81.01 | 80.24 | 80.02 |
CAiT42 | 88.18 | 87.25 | 88.58 | 88.97 |
SwinViT43 | 87.36 | 88.41 | 87.49 | 87.68 |
MultiscaleViT44 | 87.36 | 87.52 | 87.36 | 87.24 |
CoAtNet45 | 88.19 | 88.35 | 88.28 | 88.49 |
ConViT46 | 87.35 | 87.49 | 87.64 | 87.26 |
HHFA-Net47 | 85.69 | 86.87 | 85.48 | 86.22 |
GCViT47 | 85.58 | 86.62 | 85.51 | 85.97 |
APFA-Net48 | 86.62 | 87.96 | 86.56 | 87.13 |
RCCGNet5 | 90.14 | 89.78 | 89.60 | 89.06 |
RCG-Net24 | 90.62 | 91.23 | 90.63 | 90.92 |
MobileDANet (proposed model) | 90.71 | 91.29 | 90.75 | 90.94 |
