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...

Descripción completa

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

Internet

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

Ejemplares similares