Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast

OBJECTIVES: To automatically detect MRI artifacts on dynamic contrast-enhanced (DCE) maximum intensity projections (MIPs) of the breast using deep learning. METHODS: Women who underwent clinically indicated breast MRI between October 2015 and December 2019 were included in this IRB-approved retrospe...

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Detalles Bibliográficos
Autores principales: Kapsner, Lorenz A., Ohlmeyer, Sabine, Folle, Lukas, Laun, Frederik B., Nagel, Armin M., Liebert, Andrzej, Schreiter, Hannes, Beckmann, Matthias W., Uder, Michael, Wenkel, Evelyn, Bickelhaupt, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381479/
https://www.ncbi.nlm.nih.gov/pubmed/35366123
http://dx.doi.org/10.1007/s00330-022-08626-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381479/
https://www.ncbi.nlm.nih.gov/pubmed/35366123
http://dx.doi.org/10.1007/s00330-022-08626-5

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