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Scientific article
English

A generic support vector machine model for preoperative glioma survival associations

ContributorsEmblem, Kyrre E; Pinho, Marco C; Zöllner, Frank G; Due-Tonnessen, Paulina; Hald, John K; Schad, Lothar R; Meling, Torstein; Rapalino, Otto; Bjornerud, Atle
Published inRadiology, vol. 275, no. 1, p. 228-234
Publication date2015
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
  • Adolescent
  • Adult
  • Aged
  • Aged
  • 80 and over
  • Brain Neoplasms/mortality/pathology
  • Contrast Media
  • Female
  • Glioma/mortality/pathology
  • Humans
  • Image Interpretation
  • Computer-Assisted
  • Magnetic Resonance Imaging/methods
  • Male
  • Middle Aged
  • Retrospective Studies
  • Support Vector Machine
  • Survival Analysis
Affiliation entities
Research groups
Citation (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. 228–234. doi: 10.1148/radiol.14140770
Main files (1)
Article (Published version)
accessLevelRestricted
Identifiers
Journal ISSN0033-8419
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Technical informations

Creation29/11/2018 22:14:00
First validation29/11/2018 22:14:00
Update15/03/2023 15:09:40
Status update15/03/2023 15:09:39
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