WRDensity Description
WRDensity aids radiologists in interpreting breast densities to ensure uniform density assessments at the practice level. Its goal is to aid in early detection1 and give patients peace of mind through consistency, confidence, quality, and care. WRDensity was trained with deep learning based upon over 600,000 images taken by Mallinckrodt Institute of Radiology. This is one of the most respected radiology research institutes in the world. WRDensity's powerful deep-learning model is able to accurately classify breast density. The batching and sorting feature of WRDensity can increase productivity by up to 20% for users. WRDensity can be accessed within the existing workstation of radiologist, making relevant information about tissue density available in context.
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