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Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI
BACKGROUND: Enhancing lesions on MRI scans obtained after contrast material administration are commonly thought to represent disease activity in multiple sclerosis (MS); it is desirable to develop methods that can predict enhancing lesions without the use of contrast material. PURPOSE: To evaluate w...
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| Publicado no: | Radiology |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6980901/ https://ncbi.nlm.nih.gov/pubmed/31845845 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2019191061 |
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