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Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600277/ http://dx.doi.org/10.1093/neuros/okaa026_S168 |
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author | Suzuki, Keiko Yoshimura, Kentaro Kawataki, Tomoyuki Hanihara, Mitsuto Takeda, Sen Kinouchi, Hiroyuki |
author_facet | Suzuki, Keiko Yoshimura, Kentaro Kawataki, Tomoyuki Hanihara, Mitsuto Takeda, Sen Kinouchi, Hiroyuki |
author_sort | Suzuki, Keiko |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8600277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86002772021-11-18 Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning Suzuki, Keiko Yoshimura, Kentaro Kawataki, Tomoyuki Hanihara, Mitsuto Takeda, Sen Kinouchi, Hiroyuki Neurosurgery Neurosurgery 20/20: Concise, Clear Content Oxford University Press 2021-11-18 /pmc/articles/PMC8600277/ http://dx.doi.org/10.1093/neuros/okaa026_S168 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Congress of Neurological Surgeons. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Neurosurgery 20/20: Concise, Clear Content Suzuki, Keiko Yoshimura, Kentaro Kawataki, Tomoyuki Hanihara, Mitsuto Takeda, Sen Kinouchi, Hiroyuki Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning |
title | Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning |
title_full | Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning |
title_fullStr | Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning |
title_full_unstemmed | Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning |
title_short | Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning |
title_sort | prediction of pathological and radiological nature of glioma by mass spectrometry combined with machine learning |
topic | Neurosurgery 20/20: Concise, Clear Content |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600277/ http://dx.doi.org/10.1093/neuros/okaa026_S168 |
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