Level Set Segmentation of Medical Images Based on Local Region Statistics and Maximum a Posteriori Probability

Table 2

The average JS values of the segmentation results obtained by the nine methods over the IBSR data set.

Segmentation Method	WM	GM
Maximum a posteriori probability (MAP)	0.554	0.550
Adaptive MAP	0.567	0.564
Bias MAP	0.562	0.558
Fuzzy c-means (FCM)	0.567	0.473
Maximum likelihood (ML)	0.551	0.535
Tree-structure 𝐾-means	0.571	0.477
FSL-FAST	0.541	0.510
SPM	0.670	0.652
Our method	0.801	0.823