Deadline: 2020-07-06 Award: $25,000 Open to: Everyone*
Histology images hold great potential as a resource for target and biomarker discovery activities. However, in order to use such complex phenotypic data, it is imperative that robust image analysis tools are developed. Novo Nordisk is seeking an image analysis algorithm for the robust segmentation of histology sections.
The pancreas is an organ that produces key enzymes and hormones essential for digestion and glucose regulation. Cellular damage can lead to diseases such as diabetes, pancreatitis, and pancreatic cancer. To better study and understand disease pathology, Novo Nordisk is seeking an algorithm to accurately detect islets, acinar cells, adipose cells, ductal area and vessels from scanned images of pancreatic tissue.
This is a Reduction-to-Practice Challenge that requires written documentation, output from the proposed algorithm, and submission of the source code and/or an executable for validation if requested by the Seeker.
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