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EPCO-30. A RADIOMICS BASED REGRESSION MODEL TO PREDICT GLIOBLASTOMA CELL MOTILITY
PURPOSE: Radiomics has shown considerable success as a diagnostic tool in the classification of tumor grade, stage, and prognosis. The purpose of this work is to examine the potential for radiomics techniques to accurately predict the motility properties of glioblastoma cells. METHODS: Tissues speci...
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| Pubblicato in: | Neuro Oncol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7651438/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa215.309 |
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