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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Detalles Bibliográficos
Autores principales: Priya, Sarv, Liu, Yanan, Ward, Caitlin, Le, Nam H., Soni, Neetu, Pillenahalli Maheshwarappa, Ravishankar, Monga, Varun, Zhang, Honghai, Sonka, Milan, Bathla, Girish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197204/
https://www.ncbi.nlm.nih.gov/pubmed/34073840
http://dx.doi.org/10.3390/cancers13112568

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197204/
https://www.ncbi.nlm.nih.gov/pubmed/34073840
http://dx.doi.org/10.3390/cancers13112568

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