Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs

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Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs Publisher

Moqadam R^{1, 2} ; Loghmani N³ ; Mansoori MS⁴ ; Allahverdy A⁵

Source: 2022 30th International Conference on Electrical Engineering# ICEE 2022 Published:2022

Abstract

Glioma is classified into Low Grade Glioma and High Grade Glioma. Because of difference in patients' survival, it is important to classify patients into each grade. In this study, 214 glioma patients were classified into these two grades using Choline and N-acetylaspartate as extracted metabolites from Magnetic Resonance Spectroscopy and combination of Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), and Artificial Neuro-Fuzzy Inference System (ANFIS) as classifiers. Results showed that using ANFIS had the best accuracy between classifiers and combination of MLP and ANFIS had the best accuracy between different combinations of classifiers. Moreover, results showed that, concentration of Choline and N-acetylaspartate are suitable features to discriminating low and high grade glioma. © 2022 IEEE.

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Style	Citing Format
MLA	Moqadam R, et al.. "Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs." 2022 30th International Conference on Electrical Engineering# ICEE 2022, vol. , no. , 2022, pp. 8-11.
APA	Moqadam R, Loghmani N, Mansoori MS, Allahverdy A (2022). Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs. 2022 30th International Conference on Electrical Engineering# ICEE 2022, (), 8-11.
Chicago	Moqadam R, Loghmani N, Mansoori MS, Allahverdy A. "Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs." 2022 30th International Conference on Electrical Engineering# ICEE 2022 , no. (2022): 8-11.
Harvard	Moqadam R et al. (2022) 'Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs', 2022 30th International Conference on Electrical Engineering# ICEE 2022, (), pp. 8-11.
Vancouver	Moqadam R, Loghmani N, Mansoori MS, Allahverdy A. Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs. 2022 30th International Conference on Electrical Engineering# ICEE 2022. 2022;():8-11.
BibTex	@article{ author = {Moqadam R and Loghmani N and Mansoori MS and Allahverdy A}, title = {Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs}, journal = {2022 30th International Conference on Electrical Engineering# ICEE 2022}, volume = {}, number = {}, pages = {8-11}, year = {2022} }
RIS	TY - JOUR AU - Moqadam R AU - Loghmani N AU - Mansoori MS AU - Allahverdy A TI - Combination of Classifiers to Detect Grade of Glioblastoma Using Mrs JO - 2022 30th International Conference on Electrical Engineering# ICEE 2022 VL - IS - SP - 8 EP - 11 PY - 2022 ER -

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