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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394679/ https://www.ncbi.nlm.nih.gov/pubmed/30719536 http://dx.doi.org/10.1007/s00432-018-2787-1 |