A Noninvasive System for the Automatic Detection of Gliomas Based on Hybrid Features and PSO-KSVM

A Noninvasive System for the Automatic Detection of Gliomas Based on Hybrid Features and PSO-KSVM

Due to their location, malignant brain tumors are one of humanity’s greatest killers, among these tumors, gliomas are the most common. The early detection of gliomas can contribute to the design of proper treatment schemes and, thus, improve the survival rate of patients. However, it is a...

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Bibliographic Details
Main Authors: Guoli Song, Zheng Huang, Yiwen Zhao, Xingang Zhao, Yunhui Liu, Min Bao, Jianda Han, Peng Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Modified CLBP
PSO-KSVM
Glioma detection
hybrid features
skull removal
Online Access:https://ieeexplore.ieee.org/document/8630960/
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