Figure 2:

Illustration of the Dense-UNet architecture used for the Boundary Detection phase of our algorithm. This architecture was composed of a dense contracting path (left side) that captures contextual features from the input, followed by a dense expanding path (right side) that extract these local features. The densely connected layers in the Dense Block were connected in a feed-forward mode to maximize feature reuse.