Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning. (18th November 2021)

Record Type:: Journal Article
Title:: Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning. (18th November 2021)
Main Title:: Prediction of Pathological and Radiological Nature of Glioma by Mass Spectrometry Combined With Machine Learning
Authors:: Suzuki, Keiko
Yoshimura, Kentaro
Kawataki, Tomoyuki
Hanihara, Mitsuto
Takeda, Sen
Kinouchi, Hiroyuki
Abstract:
Is Part Of:: Neurosurgery. Volume 89: Supplement 2(2021)
Journal:: Neurosurgery
Issue:: Volume 89: Supplement 2(2021)
Issue Display:: Volume 89, Issue 2 (2021)
Year:: 2021
Volume:: 89
Issue:: 2
Issue Sort Value:: 2021-0089-0002-0000
Page Start:
Page End:
Publication Date:: 2021-11-18
Subjects:: Nervous system -- Surgery -- Periodicals
617.48005
Journal URLs:: https://academic.oup.com/neurosurgery ↗
http://www.neurosurgery-online.com ↗
https://journals.lww.com/neurosurgery/pages/default.aspx ↗
http://journals.lww.com ↗
DOI:: 10.1093/neuros/okaa026_S168 ↗
Languages:: English
ISSNs:: 0148-396X
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 6081.582000
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Ingest File:: 21096.xml