Optimizing the Classification of Brain Tumors Using Ensemble Learning and Gradient-weighted Class Activation Mapping on Multi-section Magnetic Resonance Imaging Images

International Journal of Technology 2026 Open access

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Authors: I G. S. M. Diyasa, Denisa Septalian Alhamda, Hanifudin Sukri, Muhammad S. Rusdi, Deshinta A. Dewi, Hana T. Sastrian, Sayyidah Humairah, Kraugusteeliana Kraugusteeliana
DOI: 10.14716/ijtech.v17i2.8360
Cited by: 1

Abstract

A brain tumor is a condition in which cells in or around the brain grow abnormally and uncontrollably. Magnetic resonance imaging (MRI) scans are essential for diagnosing brain tumors, where rapid and accurate categorization is key to effective tre

Fields of Study & Subjects

Brain Tumor Detection and Classification Medical Image Segmentation Techniques Scientific and Engineering Research Topics

Publication details

Journal / source
International Journal of Technology
Publisher
International Journal of Technology
Volume
17
Issue
2
Pages
674–674
Publication date
31 March 2026