Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters?

SIMPLE SUMMARY: Prior radiomic studies have addressed a two-class tumor classification problem (glioblastoma (GBM) versus primary CNS lymphoma (PCNSL) or GBM versus metastasis). However, this approach is prone to bias and excludes other common brain tumor types. We addressed a real-life clinical pro...

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Detalhes bibliográficos
Publicado no:Cancers (Basel)
Main Authors: Priya, Sarv, Liu, Yanan, Ward, Caitlin, Le, Nam H., Soni, Neetu, Pillenahalli Maheshwarappa, Ravishankar, Monga, Varun, Zhang, Honghai, Sonka, Milan, Bathla, Girish
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8197204/
https://ncbi.nlm.nih.gov/pubmed/34073840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers13112568
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