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PATH-46. AUTOMATED HISTOPATHOLOGIC CLASSIFICATION OF BRAIN TUMORS USING ARTIFICIAL INTELLIGENCE
Brain tumors represent a diverse group of neoplasms with highly variable therapies and clinical outcomes. Early personalized clinical management and initiation of precision-based molecular studies still heavily relies on morphologic interpretation of hematoxylin and eosin (H&E)-stained slides. U...
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| Publicado no: | Neuro Oncol |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5692981/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/nox168.736 |
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