International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Brain Tumor Detection and Classification Using MRI Images and Machine Learning in MATLAB A - Review

Abstract

This research develops an automated system for brain tumor detection and classification using MRI images and Machine Learning in MATLAB. To address data limitations, we implement augmentation techniques to enhance dataset robustness. A novel hybrid model is designed, integrating convolutional neural networks for feature extraction with support vector machines for classification. The proposed approach is rigorously evaluated against existing methods using precision, recall, and F1-score metrics. Results demonstrate that our hybrid model achieves superior performance in both detection accuracy and classification reliability. This work provides a effective framework for computer-aided diagnosis, potentially assisting radiologists in clinical decision-making and improving patient outcomes through early and accurate tumor identification.

Country : India

1 Harjot Kaur2 Er. Manpreet Singh3 Prof. Dr. Jagdeep Kaur

  1. Reserach Scholar, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India
  2. Assistant Professor, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India
  3. Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India

IRJIET, Volume 9, Issue 11, November 2025 pp. 399-407

doi.org/10.47001/IRJIET/2025.911045

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