Machine learning-based radiopathomics ensemble model for predicting multiple molecular subtypes of adult diffuse glioma: a multicenter retrospective study
Abstract Background IDH and TERTp mutations serve as key molecular markers in glioma, closely associated with tumor clinical behavior, treatment response, and patient survival. Precise identification of molecular subtypes facilitates improved clinical risk stratification. This study aims to develop...
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| Hoofdauteurs: | , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BMC
2026-02-01
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| Reeks: | BMC Cancer |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1186/s12885-026-15645-8 |
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