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Table 6 Classification results of the proposed architecture after employing optimization algorithm on the KvasirVII 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

TPR

PPV

FPR

AUC

F1-SCORE

Accuracy (%)

Time (sec)

NNN

96.01

95.98

0.004

0.98

95.99

96.00

119.8

MNN

96.68

96.67

0.003

0.98

96.67

96.70

137.1

CSVM

96.63

96.63

0.005

0.99

96.63

96.60

138.6

BNN

95.83

95.46

0.004

0.98

95.64

95.80

128.3

TNN

94.95

94.20

0.005

0.98

94.57

94.90

103.7

SWNN

96.6

96.61

0.004

1.00

96.60

96.60

94.34

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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