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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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| Publicado no: | Eur Radiol |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6291436/ https://ncbi.nlm.nih.gov/pubmed/29943184 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-018-5595-8 |
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