Combination of Classifiers to Detect Grade of Glioblastoma using MRS-Reference-Cited by-同舟云学术

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Combination of Classifiers to Detect Grade of Glioblastoma using MRS

Published:2022-05-17 Issue: Volume: Page:
ISSN:
Container-title:2022 30th International Conference on Electrical Engineering (ICEE)
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Author:

Moqadam Roqaie¹,Loghmani Nazila²,Mansoori Meysam Syiah³,Allahverdy Armin⁴

Affiliation:

1. Advanced Medical Technologies and Equipment Institute, Tehran University of Medical Sciences,Neuroimaging and Analysis group, Research Center for Molecular and Cellular Imaging,Tehran,Iran

2. Northeastern University,College of Engineering,Department of bioengineering,Boston,MA,USA

3. Kermanshah University of Medical Sciences,School of Medicine,Department of Biomedical Engineering,Kermanshah,Iran

4. Mazandaran University of Medical Sciences,Sari School of Allied Medical Sciences,Department of Radiology,Sari,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826875/9827000/09827010.pdf?arnumber=9827010

Reference21 articles.

1. Detection of Glioblastoma Multiforme Tumor in Magnetic Resonance Spectroscopy Based on Support Vector Machine;faramarzi;Iranian Journal of Medical Physics,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Crashworthiness behavior assessment and multi-objective optimization of horsetail-inspired sandwich tubes based on artificial neural network;Mechanics of Advanced Materials and Structures;2023-10-05

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