Table 5 Result analysis of the ablation study of the FTLMO-BILCCD methodology.

From: An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging

Approach

\(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\)

\(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\)

\(\:\varvec{R}\varvec{e}\varvec{c}{\varvec{a}}_{\varvec{l}}\)

\(\:{\varvec{F}1}_{\varvec{s}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\)

CapsNet Model

96.03

94.73

94.78

94.57

EfficientNetV2

96.77

95.35

95.33

95.13

MobileNet-V3

97.31

95.96

95.84

95.80

BWO

97.88

96.50

96.62

96.38

TPA-BiGRU

98.44

97.27

97.33

97.17

FTLMO-BILCCD

99.16

97.89

97.89

97.89

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