Figure 2:

Illustration of intermediate results in the DMNet workflow for cell segmentation: (a) Normalized raw input image, (b) Marker Ground-Truth for the supervision of the marker detection stream, (c) Distance penalty map in L_dist, (d) Cell segmentation ground-truth showing cells with tracking ids (binarized version provides supervision for mask prediction stream), (e) Marker prediction output from marker detection stream, (f) Labeled predicted markers after thresholding and connected component labeling, (g) Mask prediction output from mask prediction stream, and (h) Cell segmentation prediction using mask and marker, after splitting cells using marker guided morphological watershed algorithm.