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. Author manuscript; available in PMC: 2020 Jul 21.
Published in final edited form as: Med Phys. 2019 Oct 31;46(12):5637–5651. doi: 10.1002/mp.13853

Table VII.

Evaluation of the segmentation results on ACDC dataset for RV blood-pool, LV myocardium, and LV blood-pool (mean values reported), obtained from different weighting schemes of the categorical cross-entropy loss function.

End diastole (ED)
End systole (ES)
None Class Spatial Spatial w/Class DMR UNet None Class Spatial Spatial w/Class DMR UNet

Dice (%) 91.6 89.2 91.7 91.8 92.2 87.2 84.7 88.1 87.8 88.8
Jaccard (%) 85.0 81.2 85.1 85.2 85.9 78.3 74.6 79.3 79.0 80.4
MSD (mm) 0.54 0.71 0.53 0.51 0.53 1.08 1.25 0.89 0.95 0.83
HD (mm) 10.03 10.48 10.06 9.99 9.52 12.61 12.60 11.31 12.16 10.96

UNet model trained with cross-entropy loss: without any weighting, class frequency weighting, spatial weighting (with uniform class weight), and spatial with class frequency weighting, compared against the proposed DMR-UNet model.

Best performing model for the ED and ES phases are shown in bold case.