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Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study

BACKGROUND: International societies have issued guidelines for high-risk breast cancer (BC) screening, recommending contrast-enhanced magnetic resonance imaging (CE-MRI) of the breast as a supplemental diagnostic tool. In our study, we tested the applicability of deep learning-based anomaly detectio...

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Detalles Bibliográficos
Autores principales:	Burger, Bianca, Bernathova, Maria, Seeböck, Philipp, Singer, Christian F., Helbich, Thomas H., Langs, Georg
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244308/ https://www.ncbi.nlm.nih.gov/pubmed/37280478 http://dx.doi.org/10.1186/s41747-023-00343-y

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