Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging

Table 2

Segmentation performance comparison between the proposed and four other methods.

Methods	DC	SEN	SPE	PPV	NPV
Proposed	0.755 ± 0.118	0.758 ± 0.149	0.999 ± 0.001	0.779 ± 0.141	0.999 ± 0.001
FCM	0.597 ± 0.204	0.585 ± 0.221	0.999 ± 0.001	0.689 ± 0.230	0.999 ± 0.001
FCM_ROI	0.606 ± 0.201	0.505 ± 0.215	0.999 ± 0.001	0.871 ± 0.156	0.999 ± 0.001
DM	0.215 ± 0.213	0.565 ± 0.346	0.983 ± 0.024	0.179 ± 0.200	0.999 ± 0.001
DM_ROI	0.428 ± 0.342	0.380 ± 0.321	0.999 ± 0.001	0.599 ± 0.404	0.999 ± 0.001

SEN for sensitivity, SPE for specificity, PPV for positive prediction value, and NPV for negative prediction value.