Table 3 Comparative analysis of CVFBJTL-BCD technique on Histopathological dataset with existing models42,43.
Histopathological dataset | ||||
|---|---|---|---|---|
Methods | \({\varvec{A}}{\varvec{c}}{\varvec{c}}{{\varvec{u}}}_{{\varvec{y}}}\) | \({\varvec{P}}{\varvec{r}}{\varvec{e}}{{\varvec{c}}}_{{\varvec{n}}}\) | \({\varvec{S}}{\varvec{e}}{\varvec{n}}{{\varvec{s}}}_{{\varvec{y}}}\) | \({\varvec{S}}{\varvec{p}}{\varvec{e}}{{\varvec{c}}}_{{\varvec{y}}}\) |
CVFBJTL-BCD | 98.18 | 98.38 | 97.37 | 97.37 |
AOADL-HBCC | 96.95 | 95.62 | 96.03 | 96.51 |
DTLRO-HCBC | 93.68 | 90.57 | 94.84 | 93.52 |
IncepceptionV3 | 81.84 | 86.56 | 90.74 | 91.05 |
IncepceptionV3 -LSTM | 91.61 | 92.70 | 92.55 | 92.60 |
IncepceptionV3 -BiLSTM | 92.23 | 92.85 | 96.90 | 91.12 |
VGG16 Classifier | 80.32 | 89.36 | 89.92 | 90.76 |
ResNet-50 | 82.33 | 83.46 | 91.06 | 93.40 |
