June 6, 2019 · Leave a Comment
Not all stones are created equal
By Advancing the Science contributor
Mayo Clinic’s CT Clinical Innovation Center recently released the first-ever quantitative Stone Analysis Software (qSAS) for characterizing renal stones from CT images. The product is available at no charge for research use through a software sharing agreement. Cynthia McCollough, Ph.D., Division of Medical Physics, Department of Radiology at Mayo Clinic in Rochester, co-director of Mayo’s […]
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Tags: Andrea Ferrero, artificial intelligence, John Lieske, kidney stones, urology