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Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas
PURPOSE: Reliable and accurate predictive models are necessary to drive the success of radiomics. Our aim was to identify the optimal radiomics-based machine learning method for isocitrate dehydrogenase (IDH) genotype prediction in diffuse gliomas. METHODS: Eight classical machine learning methods w...
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| Publicado no: | J Cancer Res Clin Oncol |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6394679/ https://ncbi.nlm.nih.gov/pubmed/30719536 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00432-018-2787-1 |
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