BMC Medical Informatics and Decision Making

Table 5 Classification results of the proposed network-level fusion 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	92.32	92.31	0.01	0.98	92.31	92.30	477.3
MNN	92.92	92.96	0.01	0.98	92.93	93.00	341.1
CSVM	92.42	92.42	0.01	0.98	92.42	92.40	205.8
BNN	91.43	91.42	0.007	0.97	91.42	91.40	261.3
TNN	91.23	91.26	0.012	0.98	91.24	91.20	334.6
SWNN	95.13	95.15	0.012	0.99	95.13	95.10	149.69

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ISSN: 1472-6947

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