Research Article
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 |
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