Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
CONCLUSION: Radiomics feature-based classifiers may be useful to predict LGG grades. However, radiomics classifiers may have a limited value when applied to the nonenhancing LGG subgroup in a TCGA cohort.
PMID: 31464116 [PubMed - in process]
Source: Korean J Radiol - Category: Radiology Authors: Park YW, Choi YS, Ahn SS, Chang JH, Kim SH, Lee SK Tags: Korean J Radiol Source Type: research
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