Predicting Growth Trajectory in Vestibular Schwannoma From Radiomic Data Using Supervised Machine Learning Techniques. (September 2019)

Record Type:: Journal Article
Title:: Predicting Growth Trajectory in Vestibular Schwannoma From Radiomic Data Using Supervised Machine Learning Techniques. (September 2019)
Main Title:: Predicting Growth Trajectory in Vestibular Schwannoma From Radiomic Data Using Supervised Machine Learning Techniques
Authors:: Grady, Conor
Wang, Hesheng
Schnurman, Zane
Qu, Tanxia
Kondziolka, Douglas
Abstract:
Is Part Of:: Neurosurgery. Volume 66(2019)Supplement
Journal:: Neurosurgery
Issue:: Volume 66(2019)Supplement
Issue Display:: Volume 66, Issue 1 (2019)
Year:: 2019
Volume:: 66
Issue:: 1
Issue Sort Value:: 2019-0066-0001-0000
Page Start:
Page End:
Publication Date:: 2019-09
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/nyz310_318 ↗
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:: 24201.xml