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...
| Published in: | Cancers Vol. 13; no. 11; pp. 2568 - 2569 |
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| Main Authors: | , , , , , , , , , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
MDPI
Jun2021
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| Online Access: | View this record in EBSCOhost |