BMC Bioinformatics

Table 11 The objective evaluation scores about group 10 fused images

From: VANet: a medical image fusion model based on attention mechanism to assist disease diagnosis

Methods	Metrics
Methods		Q_w	Q_e	SSIM	VIF	FMI	NCIE	LABF	NABF
1	Non-attention	0.7893	0.7953	0.6770	0.5371	0.6796	0.8063	0.1403	0.0127
	Non-multiscale	0.8072	0.8154	0.6965	0.5146	0.7066	0.8086	0.1287	0.0198
	VANet	0.8231	0.8297	0.7048	0.5642	0.7126	0.8125	0.0947	0.0063
2	Non-attention	0.6582	0.7126	0.5219	0.2977	0.6234	0.8121	0.1876	0.0223
	Non-multiscale	0.6473	0.6972	0.5312	0.3109	0.6324	0.8098	0.1768	0.0267
	VANet	0.6675	0.7304	0.5429	0.3343	0.6588	0.8168	0.1584	0.0126
3	Non-attention	0.8124	0.8452	0.8494	0.5954	0.6201	0.8112	0.1945	0.0218
	Non-multiscale	0.7993	0.8344	0.8561	0.6137	0.6315	0.8095	0.1232	0.0253
	VANet	0.8329	0.8603	0.8752	0.6318	0.6682	0.8163	0.1014	0.0189

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ISSN: 1471-2105

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