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Monday, June 5, 2017

Deep-Learning Technique May Help Classify Breast Density on Mammography Images

Aunt Minnie (6/2, Ridley) reported that research suggests “a deep-learning technique shows promise for helping to classify breast density on mammography images.” Investigators “developed a deep learning-based method that could accurately classify mammograms into two of the most challenging BI-RADS density categories: B (scattered density) and C (heterogeneously dense).” The findings were presented at the Society for Imaging Informatics in Medicine annual meeting.
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Categories: 2017, June, News, Screening and MammographyNumber of views: 8847

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