Image Segmentation to Distinguish Between Overlapping Human Chromosomes
December 20, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
R. Lily Hu, Jeremy Karnowski, Ross Fadely, Jean-Patrick Pommier
arXiv ID
1712.07639
Category
cs.CV: Computer Vision
Cross-listed
cs.LG,
q-bio.QM,
stat.ML
Citations
34
Venue
arXiv.org
Last Checked
6 months ago
Abstract
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.
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