A Research Travelogue on Image Classification on Brain Tumor

DOI

10.2991/978-94-6463-858-5_5How to use a DOI?

Keywords

Brain Tumor; Magnetic Resonance Imaging (MRI); Artificial Intelligence

Abstract

The brain’s unchecked and fast cell proliferation is what fuels a tumor. It may be mortal if left untreated in the early stages. Accurate separation and classification remain difficult despite a great deal of work and good results. The diversity in tumor site, form, and dimensions greatly complicate the detection of brain tumor. This study’s primary goal is to provide researchers with extensive literature on the use of magnetic resonance imaging (MR) to detect brain tumor. This study suggested many methods for the detection of tumor and brain cancer using statistical image processing and artificial intelligence. The categorization of brain tumor by medical imaging is essential for both diagnosis and therapeutic planning. Technological advances in artificial intelligence (AI) and machine learning (ML) have made great strides in automating this procedure, improving accuracy, and relieving radiologists of some of their workload. In this study, we offer a heuristic approach for brain tumor classification using medical imaging, based on artificial intelligence. To provide effective and precise classification results, the model combines heuristic search methods with deep learning algorithms. Through thorough testing on benchmark datasets, we showcase the efficacy of our technique and highlight its potential for practical clinical applications.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. Kiran Kumar
AU  - B. Rama
PY  - 2025
DA  - 2025/11/04
TI  - A Research Travelogue on Image Classification on Brain Tumor
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 41
EP  - 52
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_5
DO  - 10.2991/978-94-6463-858-5_5
ID  - Kumar2025
ER  -