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Review Open access Sep 2026

Radiomics and machine learning for differentiating pediatric intramedullary spinal tumors: a pilot study

Conventional magnetic resonance imaging faces limitations in differentiating among pediatric intramedullary spinal tumors (IMSTs). We evaluated radiomics-based machine learning (ML) models using sagittal T2-weighted images to differentiate pilocytic astrocytomas (PA) and ependymomas (EP), independently, from other IMST...

Catalin George Iacoban, Shayan Alvansazyazdi, C. Parodi et al. · 0 citations

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