Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

OBJECTIVES: Magnetic resonance imaging (MRI) is the method of choice for imaging meningiomas. Volumetric assessment of meningiomas is highly relevant for therapy planning and monitoring. We used a multiparametric deep-learning model (DLM) on routine MRI data including images from diverse referring i...

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Detalles Bibliográficos
Autores principales: Laukamp, Kai Roman, Thiele, Frank, Shakirin, Georgy, Zopfs, David, Faymonville, Andrea, Timmer, Marco, Maintz, David, Perkuhn, Michael, Borggrefe, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Neuro
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291436/
https://www.ncbi.nlm.nih.gov/pubmed/29943184
http://dx.doi.org/10.1007/s00330-018-5595-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291436/
https://www.ncbi.nlm.nih.gov/pubmed/29943184
http://dx.doi.org/10.1007/s00330-018-5595-8

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