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Title

A generic support vector machine model for preoperative glioma survival associations

Authors
Emblem, Kyrre E
Pinho, Marco C
Zöllner, Frank G
Due-Tonnessen, Paulina
Hald, John K
Schad, Lothar R
Rapalino, Otto
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Published in Radiology. 2015, vol. 275, no. 1, p. 228-34
Abstract To develop a generic support vector machine (SVM) model by using magnetic resonance (MR) imaging-based blood volume distribution data for preoperative glioma survival associations and to prospectively evaluate the diagnostic effectiveness of this model in autonomous patient data.
Keywords AdolescentAdultAgedAged80 and overBrain Neoplasms/mortality/pathologyContrast MediaFemaleGlioma/mortality/pathologyHumansImage InterpretationComputer-AssistedMagnetic Resonance Imaging/methodsMaleMiddle AgedRetrospective StudiesSupport Vector MachineSurvival Analysis
Identifiers
PMID: 25486589
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Structures
Research group Groupe Schaller Karl Lothard (neurochirurgie) (851)
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(ISO format)
EMBLEM, Kyrre E et al. A generic support vector machine model for preoperative glioma survival associations. In: Radiology, 2015, vol. 275, n° 1, p. 228-34. https://archive-ouverte.unige.ch/unige:111895

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Deposited on : 2018-12-05

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