From: Automatic liver segmentation based on appearance and context information
Methods | VOE | RVD | ASD | RMSE | MSD | Total | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
[%] | Score | [%] | Score | [mm] | Score | [mm] | Score | [mm] | Score | Score | |
Ours | 7.83 | 69 | 5.06 | 73 | 1.06 | 74 | 1.39 | 80 | 11.12 | 85 | 76 |
Heimann [20] | 7.77 | 70 | 1.7 | 88 | 1.4 | 65 | 3.2 | 55 | 30.1 | 60 | 67 |
Saddi [21] | 8.9 | 65 | 1.2 | 80 | 1.5 | 62 | 3.4 | 52 | 29.3 | 62 | 64 |
Schmidt [22] | 10.4 | 59 | 4.9 | 74 | 1.7 | 58 | 3.1 | 57 | 24 | 68 | 63 |
Chi [23] | 9.1 | 65 | 26 | 73 | 1.7 | 58 | 3.3 | 54 | 30.8 | 60 | 62 |
Rusko [24] | 10.1 | 61 | 3.8 | 72 | 1.7 | 58 | 3.5 | 53 | 26.7 | 65 | 61 |
Seghers [25] | 10.7 | 58 | 6.8 | 64 | 1.8 | 55 | 3.2 | 56 | 25.2 | 67 | 60 |
Furukawa [26] | 10.8 | 58 | 7.3 | 61 | 1.9 | 53 | 3.7 | 49 | 31.6 | 58 | 56 |
van Rikxoort [27] | 12.5 | 51 | 1.8 | 80 | 2.4 | 40 | 4.4 | 40 | 32.4 | 57 | 53 |