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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:Sci Rep
Autori principali: Leclerc, Pierre, Ray, Cedric, Mahieu-Williame, Laurent, Alston, Laure, Frindel, Carole, Brevet, Pierre-François, Meyronet, David, Guyotat, Jacques, Montcel, Bruno, Rousseau, David
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2020
Soggetti:
Article
Accesso online: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
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi