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Lingying Zhu

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Articles

Deep learning prediction of mammographic breast density using screening data - Scientific Reports

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By CHEN CHEN, Enyu Wang, Xiayi Chen, Lingying Zhu
| Nature Verified
Abstract This study investigated a series of deep learning (DL) models for the objective assessment of four categories of mammographic breast density (e.g., fatty, scattered, heterogeneously dense, and extremely dense). A retrospective analysis was conducted using data collected from Taizhou Cancer Hospital over a period from January 2015 to December 2020. The dataset included mammograms from 9,621 women, totaling 57,282 images.
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