This study aimed to develop and externally validate a radiomics-based machine learning framework for the noninvasive differentiation of non-enhanced glioblastoma (NE-GBM) from astrocytoma, IDH-mutant, grade 2 (IDHm-A2), thereby addressing the diagnostic limitations of qualitative MRI and the challenge of data scarcity....
Shuai Liu, Xue-Xia Mao, Xing Liu et al.· PLOS Digital Health· 0 citations
The rising global burden of cerebrovascular disease, propelled by an aging population, highlights the inherent limitations of conventional, labor-intensive diagnostic paradigms. In the context of time-sensitive stroke management, variability in image interpretation and the high rate of misclassification, particularly d...
Xue-Xia Mao, Huajun Yang, Shiwen Weng et al.· Frontiers in Neuroscience· 0 citations
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