An Automated Brain Tumor Detection Framework using Hybrid GWO-SVM and MRI Image Analysis

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An Automated Brain Tumor Detection Framework using Hybrid GWO-SVM and MRI Image Analysis

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Published 11 April 2026

Updated 11 April 2026

An Automated Brain Tumor Detection Framework using Hybrid GWO-SVM and MRI Image Analysis

Dr.P.HARISH
M.Tech.Ph.DDept of ECEAnnamacharya Institute of
Technology and SciencesTirupati,Indiaharishpasupulati@gmail.com
C. RACHANA
B Tech StudentDept of ECE
Annamacharya Institute ofTechnology and Sciences
Tirupati,Indiachindepallirachana@gmail.com
KONANGI RUSHITHA
B Tech StudentDept of ECE
Annamacharya Institute ofTechnology and Sciences
Tirupati,Indiarushithakonangi@gmail.com
B. VAMSI
B Tech StudentDept of ECE
Annamacharya Institute ofTechnology and Sciences
Tirupati,Indiavamsireddy1410@gmail.com

S. REDDY CHAITHANYA
B Tech StudentDept of ECE
Annamacharya Institute ofTechnology and Sciences
Tirupati,Indiasibbalachaitanya@gmail.com

Abstract— Accurate detection of brain tumors frommedical images plays a crucial role in clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) provides high-resolution visualization of brain tissues; however, the presence of noise, intensity variations, and complex anatomical structures makes automated tumor detection challenging.