by
John R. Fischer, Senior Reporter | March 21, 2019
Others are the National Institutes of Health Clinical Center, for developing a domain generalization method for the segmentation of the prostate from surrounding tissue on MR scans; and the University of California, San Francisco for the creation, testing and deployment of multiple algorithms across radiology that can serve as guides to help future clinicians adopt the system.
“This is a toolkit for developers in medical imaging to commercialize. We expect them to use these tools and build on them, commercializing it for their customers," said Scotto DiVetta. "We are trying to broaden the definition of developer to include more domain experts.”
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Development of the platform was
announced at last year's GPU Technology Conference, with Nvidia saying it would be a "single virtual supercomputer".
Included in the toolkit are two software development toolkits, Clara Train SDK and Clara Deploy SDK. Both can be accessed from NGC, and deployed on the NVIDIA T4 server and NVIDIA DGX POD. Clara Deploy SDK open beta is available today on NGC. Clara Train SDK is also available for early access.
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