Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

2008137 citationsJournal Articlehybrid Open Access

Authors

Juan M. García‐Gómez · Universitat Politècnica de València

Jan Luts · KU Leuven

Margarida Julià‐Sapé · Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine

P.W.T. Krooshof · Radboud Institute for Molecular Life Sciences

Salvador Tortajada · Universitat Politècnica de València

Javier Vicente · Universitat Politècnica de València

W.J. Melssen

Abstract

The prediction of the tumor type of in-vivo MRS is possible using classifiers developed from previously acquired data, in different hospitals with different instrumentation under the same acquisition protocols. This methodology may find application for assisting in the diagnosis of new brain tumor cases and for the quality control of multicenter MRS databases.

Topics & Keywords

Advanced MRI Techniques and Applications Brain Tumor Detection and Classification Spectroscopy Techniques in Biomedical and Chemical Research

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: Magnetic Resonance Materials in Physics Biology and Medicine

Volume 22, Issue 1, pp. 5-18

DOI: 10.1007/s10334-008-0146-y

Field-Weighted Citation Impact: 8.66