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Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy
Gliomas are infiltrative brain tumors with a margin difficult to identify. 5-ALA induced PpIX fluorescence measurements are a clinical standard, but expert-based classification models still lack sensitivity and specificity. Here a fully automatic clustering method is proposed to discriminate glioma...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6989497/ https://ncbi.nlm.nih.gov/pubmed/31996727 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-58299-7 |
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