Enhancing Brain Tumor Detection in Magnetic Resonance Imaging Through Explainable Artificial Intelligence Techniques and Fusion Models

Adwaita Sathrukkan, Gurusamy Jeyakumar, Sanjay Balamurugan, Srivaishnavi J. V., S. Raghul, Naveen Raaghavendran

2024

Abstract

Enhancing the detection of brain tumors in Magnetic Resonance Imaging (MRI) represents a critical frontier in medical imaging and neuro-oncology. This paper introduces an innovative approach that leverages Explainable Artificial Intelligence (XAI) techniques and fusion models to significantly improve the accuracy and interpretability of brain tumor detection. This paper proposes a novel framework integrating deep learning models and fusion strategies for enhanced feature extraction from multiple MRI sequences, as detailed in subsequent sections. By employing XAI methodologies, the approach presented in this paper not only enhances detection performance but also provides meaningful explanations for its predictions, thereby increasing the trustworthiness of automated diagnosis.

Paper Citation

in Harvard Style

Sathrukkan A., Jeyakumar G., Balamurugan S., J. V. S., Raghul S. and Raaghavendran N. (2024). Enhancing Brain Tumor Detection in Magnetic Resonance Imaging Through Explainable Artificial Intelligence Techniques and Fusion Models. In Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com; ISBN 978-989-758-739-9, SciTePress, pages 266-275. DOI: 10.5220/0013344000004646

in Bibtex Style

@conference{ic3com24,
author={Adwaita Sathrukkan and Gurusamy Jeyakumar and Sanjay Balamurugan and Srivaishnavi J. V. and S. Raghul and Naveen Raaghavendran},
title={Enhancing Brain Tumor Detection in Magnetic Resonance Imaging Through Explainable Artificial Intelligence Techniques and Fusion Models},
booktitle={Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com},
year={2024},
pages={266-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013344000004646},
isbn={978-989-758-739-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com
TI - Enhancing Brain Tumor Detection in Magnetic Resonance Imaging Through Explainable Artificial Intelligence Techniques and Fusion Models
SN - 978-989-758-739-9
AU - Sathrukkan A.
AU - Jeyakumar G.
AU - Balamurugan S.
AU - J. V. S.
AU - Raghul S.
AU - Raaghavendran N.
PY - 2024
SP - 266
EP - 275
DO - 10.5220/0013344000004646
PB - SciTePress