A Robust Computer-Aided Automated Brain Tumor Diagnosis Approach Using PSO-ReliefF Optimized Gaussian and Non-Linear Feature Space

A Robust Computer-Aided Automated Brain Tumor Diagnosis Approach Using PSO-ReliefF Optimized Gaussian and Non-Linear Feature Space

Brain tumors are among the deadliest diseases in the modern world. This study proposes an optimized machine-learning approach for the detection and identification of the type of brain tumor (glioma, meningioma, or pituitary tumor) in brain images recorded using magnetic resonance imaging (MRI). The...

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Bibliographic Details
Main Authors: Muhammad Umair Ali, Karam Dad Kallu, Haris Masood, Shaik Javeed Hussain, Safee Ullah, Jong Hyuk Byun, Amad Zafar, Kawang Su Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Life
Subjects:
ReliefF
optimization
tumor
KAZE
diagnosis
brain MRI
Online Access:https://www.mdpi.com/2075-1729/12/12/2036

Internet

https://www.mdpi.com/2075-1729/12/12/2036

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