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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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Detalles Bibliográficos
Autores principales: Wu, Shuang, Meng, Jin, Yu, Qi, Li, Ping, Fu, Shen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
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

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