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Harnessing clinical annotations to improve deep learning performance in prostate segmentation

Fig 2

Example UCLA baseline model segmentations.

The orange contour depicts ground truth segmentation and the shaded blue area depicts model segmentation. A) Example apex, midgland, and base slice from a sample in the primary dataset with a high metric on evaluation. The soft Dice coefficient for this sample was 0.928, and the average Hausdorff distance was 0.085. Images of all of the slices for this study are presented in S1 Fig. B) Example apex, midgland, and base slice from a sample in the primary dataset with a low metric on evaluation. The soft Dice coefficient for this sample was 0.738, and the average Hausdorff distance was 0.935. Images of all of the slices for this study are presented in S2 Fig.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0253829.g002