Detecting Brain Tumors Through Multimodal Neural Networks

Antonio Curci; Andrea Esposito

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Paper

Detecting Brain Tumors Through Multimodal Neural Networks

Topics: AI for Healthcare; Neurodegenerative Diseases Assessment

In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI, 995-1000, 2024 , Rome, Italy

Authors: Antonio Curci and Andrea Esposito

Affiliation: Department of Computer Science, University of Bari Aldo Moro, Via E. Orabona 4, 70125 Bari, Italy

Keyword(s): DenseNet, Brain Tumor, Classification, Multimodal Model.

Abstract: Tumors can manifest in various forms and in different areas of the human body. Brain tumors are specifically hard to diagnose and treat because of the complexity of the organ in which they develop. Detecting them in time can lower the chances of death and facilitate the therapy process for patients. The use of Artificial Intelligence (AI) and, more specifically, deep learning, has the potential to significantly reduce costs in terms of time and resources for the discovery and identification of tumors from images obtained through imaging techniques. This research work aims to assess the performance of a multimodal model for the classification of Magnetic Resonance Imaging (MRI) scans processed as grayscale images. The results are promising, and in line with similar works, as the model reaches an accuracy of around 99%. We also highlight the need for explainability and transparency to ensure human control and safety.

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Paper citation in several formats:

Curci, A. and Esposito, A. (2024). Detecting Brain Tumors Through Multimodal Neural Networks. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - NeroPRAI; ISBN 978-989-758-684-2; ISSN 2184-4313, SciTePress, pages 995-1000. DOI: 10.5220/0012608600003654

@conference{neroprai24,
author={Antonio Curci. and Andrea Esposito.},
title={Detecting Brain Tumors Through Multimodal Neural Networks},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - NeroPRAI},
year={2024},
pages={995-1000},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012608600003654},
isbn={978-989-758-684-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - NeroPRAI
TI - Detecting Brain Tumors Through Multimodal Neural Networks
SN - 978-989-758-684-2
IS - 2184-4313
AU - Curci, A.
AU - Esposito, A.
PY - 2024
SP - 995
EP - 1000
DO - 10.5220/0012608600003654
PB - SciTePress