Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma

We aimed to establish a high-performing and robust classification strategy, using magnetic resonance imaging (MRI), along with combinations of feature extraction and selection in human and machine learning using radiomics or deep features by employing a small dataset. Using diffusion and contrast-en...

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Detalles Bibliográficos
Publicado en:Sci Rep
Main Authors: Yun, Jihye, Park, Ji Eun, Lee, Hyunna, Ham, Sungwon, Kim, Namkug, Kim, Ho Sung
Formato: Artigo
Idioma:Inglês
Publicado: Nature Publishing Group UK 2019
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6451024/
https://ncbi.nlm.nih.gov/pubmed/30952930
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-42276-w
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