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

Abstract 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...

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Detalhes bibliográficos

Principais autores:	Bianca Burger, Maria Bernathova, Philipp Seeböck, Christian F. Singer, Thomas H. Helbich, Georg Langs
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2023-06-01
coleção:	European Radiology Experimental
Assuntos:	Breast cancer High-risk women Magnetic resonance imaging Deep learning Generative adversarial network
Acesso em linha:	https://doi.org/10.1186/s41747-023-00343-y
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