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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
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 |
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