  In medicine, visualizing chromosomes is important for medical diagnostics,
drug development, and biomedical research. Unfortunately, chromosomes often
overlap and it is necessary to identify and distinguish between the overlapping
chromosomes. A segmentation solution that is fast and automated will enable
scaling of cost effective medicine and biomedical research. We apply neural
network-based image segmentation to the problem of distinguishing between
partially overlapping DNA chromosomes. A convolutional neural network is
customized for this problem. The results achieved intersection over union (IOU)
scores of 94.7% for the overlapping region and 88-94% on the non-overlapping
chromosome regions.
