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Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors
Purpose: To investigative the diagnostic performance of radiomics-based machine learning in differentiating glioblastomas (GBM) from metastatic brain tumors (MBTs). Method: The current study involved 134 patients diagnosed and treated in our institution between April 2014 and December 2018. Radiomic...
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| Gepubliceerd in: | Front Oncol |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6714109/ https://ncbi.nlm.nih.gov/pubmed/31508366 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2019.00806 |
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