A Myocardial Segmentation Method Based on Adversarial Learning

Table 2

Quantitative comparison of the method presented in this paper to segmentation performance of different methods from the literature.

Method	Myocardial dice	Blood pool dice
Mukhopadhyay [17]	0.495	0.794
Tziritas [18]	0.612	0.867
Shahzad [19]	0.747	0.885
3D UNet [30]	0.707	0.926
Ours	0.762	0.928
Wolterink et al. [22]	0.802	0.926
Yu et al. [20]	0.786	0.931