Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network

Table 5

Comparison of retrieval performance of the proposed framework with other deep models and state-of-the-art on IRMA images. The IRMA error with was the best test value selected from the literature.

Methods	Vector dimension for similarity retrieval	IRMA error on Cosine similarity	mAP
			Euclidean distance	Manhattan distance	Cosine similarity
Sequential shrink CNN+LBP [14]	8496	168.05	—	—	—
Parallel shrink CNN+LBP, HOG, Radon [9]	8496 (LBP)	165.55	—	—	—
	3528 (HOG)
	1800 (Radon)
SVM+multiscale LBP [61]	on SVM	146.55	—	—	—
VGG16 [18]	512	65.53	0.53	0.53	0.53
AttentionResNet56 [27]	2048	49.66	0.45	0.45	0.62
AttentionResNet56+center loss [52]	2048	47.76	0.35	0.35	0.53
ResNet50 [19]	2048	47.53	0.72	0.72	0.73
Proposed method	32	43.21	0.84	0.85	0.86