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April 24, 2024Physics in Medicine and BiologyOpen Access

Deep-learning model for background parenchymal enhancement classification in contrast-enhanced mammography

Elodie Ripaud Clément Jailin Gonzalo Iñaki Quintana Pablo Milioni de Carvalho Ruben Sanchez de la Rosa Laurence Vancamberg

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Abstract

Breast background parenchymal enhancement (BPE) is correlated with the risk of breast cancer. BPE level is currently assessed by radiologists in contrast-enhanced mammography (CEM) using 4 classes: minimal, mild, moderate and marked, as described in

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Ripaud et al. (2024) studied this question.

synapsesocial.com/papers/68e6dc24b6db643587658266 https://doi.org/10.1088/1361-6560/ad42ff

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