Table 1.

Experimental results of MCs detection.

Methods	TP (True Positive)	FPs (False positives)/image
Difference-of-Gaussians- (DoG-) based method [13]	60%	1.2
Image-difference-technique- (IDT-) based method [9]	70%	1.5
Neural network-based method [20]	70%	1.1
Wavelet-based method [14]	75%	1.5
Support-vector-machine- (SVM-) based method [8]	90%	1.3
Weighted-local-differences-based method [32]	70%	1.9
Texture-coding-based method [33]	95%	4.3
Proposed method	92.9%	0.08