Authors

Margaret Eunice

School of Computing and Informatics, Masinde Muliro University of Science and Technology, Kenya

Goreti Odwa Thuo

School of Computer Science and Information Technology, Dedan Kimathi University of Technology, Kenya

Odera Omolo

School of Computing and Informatics, Masinde Muliro University of Science and Technology, Kenya

Abstract

Aberrant tumors that develop in the brain are called tumors, and malignant tumors are called "cancer." CT scans, MRIs, or positron emission tomography (PET) scans are commonly used to identify malignant brain tissue. This study will focus on the different types of brain tumors, how they are detected, and how to help sufferers detect the cancer early. MRI and PET scans are used to diagnose brain tumors, and additional techniques such as molecular testing, lumbar puncture, and cerebral angiography are used to assess the stage of the disease. The objectives of this research investigation are to (i) identify abnormal photographs; (ii) segment the tumor regions; and (iii) determine the stage of the cancer. This investigation will be used to determine the appropriate methodology for brain tumor detection.

Keywords

Brain Tumor MRI PET scan Medical Image Processing Artificial Neural Network Tumour segmentation

Citation of this Article

Margaret Eunice, Goreti Odwa Thuo, & Odera Omolo. (2025). A Comprehensive Review of Brain Tumor Detection and Classification Techniques in Medical Imaging. International Current Journal of Engineering and Science - ICJES, 4(6), 18-25. Article DOI: https://doi.org/10.47001/ICJES/2025.406004

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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