BMC Medical Informatics and Decision Making

Table 3 Classification results of the proposed network-level fusion on the Kvasir V1 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	99.47	99.45	0.0	1.00	99.47	99.50	488.53
MNN	99.46	99.45	0.0	1.00	99.45	99.40	464.12
C-SVM	99.41	99.37	0.0	1.00	99.38	99.40	365.35
BNN	99.48	99.46	0.0	1.00	99.46	99.50	386.01
TNN	99.40	99.40	0.0	1.00	99.40	99.40	766.01
SWNN	99.57	99.55	0.0	1.00	99.50	99.60	292.20

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ISSN: 1472-6947

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