Fig. 3: Steps to segmentation: (1) threshold the CNN output, (2) find the peaks of the distance transform (=seeds), (3) watershed, (4) remove erroneous interior borders using a cell–cell boundary test.
From: A convolutional neural network segments yeast microscopy images with high accuracy

Phase contrast image inverted for better visualization. Image from ref. 16, scale bar unknown.