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Table 4 Classification results after employing Entrop-controlled MPA algorithm for KvasirV1 dataset

From: A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images

Classifiers

Sensitivity (%)

Precision (%)

FPR

AUC

F1-Score

Accuracy (%)

Time (sec)

NNN

99.46

99.46

0.0

1.00

99.46

99.50

246.03

MNN

99.52

99.52

0.0

1.00

99.52ss

99.50

217.81

CSVM

99.55

99.52

0.0

1.00

99.53

99.50

315.1

BNN

99.52

99.52

0.0

1.00

99.52

99.50

277.65

TNN

99.47

99.47

0.0

1.00

99.47

99.50

512.96

SWNN

99.66

99.62

0.0

1.00

99.63

99.60

204.06