Image Segmentation to Distinguish Between Overlapping Human Chromosomes
  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.
