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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Detalles Bibliográficos
Autores principales: Leclerc, Pierre, Ray, Cedric, Mahieu-Williame, Laurent, Alston, Laure, Frindel, Carole, Brevet, Pierre-François, Meyronet, David, Guyotat, Jacques, Montcel, Bruno, Rousseau, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989497/
https://www.ncbi.nlm.nih.gov/pubmed/31996727
http://dx.doi.org/10.1038/s41598-020-58299-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989497/
https://www.ncbi.nlm.nih.gov/pubmed/31996727
http://dx.doi.org/10.1038/s41598-020-58299-7

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