Figure 3.

Comparing 3D, 2.5D, and 2D approaches when training data is limited. As we decreased the size of the training set from 3000 MRIs down to 60 MRIs, the CapsNet (a), UNet (b), and nnUNet (c) models maintained higher segmentation accuracy (measured by Dice scores).