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NIMG-68. ACCURATE PATIENT-SPECIFIC MACHINE LEARNING MODELS OF GLIOBLASTOMA INVASION USING TRANSFER LEARNING
INTRODUCTION: Contrast-enhanced MRI (CE-MRI) guides first-line therapies (surgery, radiation) for glioblastoma (GBM), yet its accuracy remains limited. CE-MRI delineates enhancing bulk tumor but poorly characterizes non-enhancing invasive tumor in surrounding T2W abnormality. Previous studies have e...
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| Pubblicato in: | Neuro Oncol |
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| Autori principali: | , , , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5693187/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/nox168.641 |
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