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Improved Glioma Grading Using Deep Convolutional Neural Networks
BACKGROUND AND PURPOSE: Accurate determination of glioma grade leads to improved treatment planning. The criterion standard for glioma grading is invasive tissue sampling. Recently, radiomic features have shown excellent potential in glioma-grade prediction. These features may not fully exploit the...
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| Publicado no: | AJNR Am J Neuroradiol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society of Neuroradiology
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7872170/ https://ncbi.nlm.nih.gov/pubmed/33303522 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6882 |
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