Knowledge discovery from database: MRI radiomic features to assess recurrence risk in high-grade meningiomas
Abstract Purpose We used knowledge discovery from radiomics of T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (T1C) for assessing relapse risk in patients with high-grade meningiomas (HGMs). Methods 279 features were extracted from each ROI including 9 histogram features, 220 G...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2025-01-01
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| Serie: | BMC Medical Imaging |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s12880-024-01483-2 |
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