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Fully Automatic Assessment of Background Parenchymal Enhancement on Breast MRI Using Machine‐Learning Models

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Automated measurement and classification models with objectivity and reproducibility are required for accurate evaluation of the breast cancer risk of fibroglandular tissue (FGT) and background parenchymal enhancement (BPE). Click to show full abstract

Automated measurement and classification models with objectivity and reproducibility are required for accurate evaluation of the breast cancer risk of fibroglandular tissue (FGT) and background parenchymal enhancement (BPE).

Keywords: breast; fully automatic; automatic assessment; background parenchymal; parenchymal enhancement

Journal Title: Journal of Magnetic Resonance Imaging
Year Published: 2020

Link to full text (if available)


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