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TMOD-35. PREDICTION OF OVERALL SURVIVAL, AND MOLECULAR MARKERS IN GLIOMAS VIA ANALYSIS OF DIGITAL PATHOLOGY IMAGES USING DEEP LEARNING
BACKGROUND: Microscopic features of brain tumors, such as tumor cell morphology, type/degree of microvascular hyperplasia, mitotic activity, and extent of zonal/geographic necrosis, among many others, are measurable and reflect underlying molecular markers that are predictive of patient prognosis, s...
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| Опубликовано в: : | Neuro Oncol |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6845606/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.1134 |
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