Figure 1.

Small segmentation errors locally can lead to large topological errors. The field-of-view for modern convolutional neuronal networks is a small fraction of the size of the neuron leading to potentially bad global mistakes. Segmentation evaluation is typically done on datasets only a few times bigger (in one dimension) than this field of view.