A Generic Support Vector Machine Model for Preoperative Glioma Survival Associations-Reference-Cited by-同舟云学术

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A Generic Support Vector Machine Model for Preoperative Glioma Survival Associations

Published:2015-04 Issue:1 Volume:275 Page:228-234
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Emblem Kyrre E.,Pinho Marco C.,Zöllner Frank G.,Due-Tonnessen Paulina,Hald John K.,Schad Lothar R.,Meling Torstein R.,Rapalino Otto,Bjornerud Atle

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.14140770

Reference25 articles.

1. Perfusion MR Imaging: Moving Forward

2. Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

3. Survival Analysis of Patients with High-Grade Gliomas Based on Data Mining of Imaging Variables

4. Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques

5. Machine learning in preoperative glioma MRI: Survival associations by perfusion-based support vector machine outperforms traditional MRI

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