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
Autores principales: Yun, Jihye, Park, Ji Eun, Lee, Hyunna, Ham, Sungwon, Kim, Namkug, Kim, Ho Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451024/
https://www.ncbi.nlm.nih.gov/pubmed/30952930
http://dx.doi.org/10.1038/s41598-019-42276-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451024/
https://www.ncbi.nlm.nih.gov/pubmed/30952930
http://dx.doi.org/10.1038/s41598-019-42276-w

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