Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time

OBJECTIVES: To investigate the feasibility of automatically identifying normal scans in ultrafast breast MRI with artificial intelligence (AI) to increase efficiency and reduce workload. METHODS: In this retrospective analysis, 837 breast MRI examinations performed on 438 women from April 2016 to Oc...

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Detalles Bibliográficos
Autores principales: Jing, Xueping, Wielema, Mirjam, Cornelissen, Ludo J., van Gent, Margo, Iwema, Willie M., Zheng, Sunyi, Sijens, Paul E., Oudkerk, Matthijs, Dorrius, Monique D., van Ooijen, Peter M.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705471/
https://www.ncbi.nlm.nih.gov/pubmed/35614363
http://dx.doi.org/10.1007/s00330-022-08863-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705471/
https://www.ncbi.nlm.nih.gov/pubmed/35614363
http://dx.doi.org/10.1007/s00330-022-08863-8

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