Validation of Alternating Kernel Mixture Method: Application to Tissue Segmentation of Cortical and Subcortical Structures

Table 3

Classification error for Bayesian, AKM, and Neyman-Pearson for prefrontal cortices (1.5T).

	Bayesian	Neyman-Pearson	AKM
1	0.138	0.144	0.093
2	0.103	0.103	0.101
3	0.087	0.088	0.081
4	0.091	0.097	0.081
5	0.135	0.135	0.097
6	0.093	0.098	0.088
7	0.095	0.103	0.093
8	0.127	0.127	0.106
9	0.091	0.091	0.085