A Deep Learning Based Brain Tumor Detection and Localization with ResNet-101 Model

DOI

10.2991/978-94-6463-858-5_124How to use a DOI?

Keywords

Brain tumor detection; missing modality; segmentation; localization; convolutional neural networks; ResNet-101

Abstract

The rapid technological progress within the discipline of medicine has significantly improved the diagnostic method for various diseases, providing crucial support to healthcare professionals and ultimately saving lives. Advanced technological tools are now being harnessed by health experts to make informed decisions in healthcare. Among the challenges faced, brain tumor detection stands out prominently. Accurate brain tumor detection and localization are essential for timely diagnosis and treatment in medical imaging. In this work, we propose an advanced deep learning model using Convolutional Neural Networks (CNN) integrated with ResNet-101 for brain tumor detection, tumor localization, and classification of missing modality images. The model leverages the residual learning capabilities of ResNet-101 for effective feature extraction, enhancing the detection of brain tumors even in incomplete or missing modality. Additionally, a localization module is incorporated to pinpoint the tumor region, improving interpretability for clinical use. The proposed model is evaluated and benchmarked against other techniques, with a comprehensive performance comparison using important metrics such as accuracy, recall, F1-Score and precision.

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  - Manasa Mothe
AU  - Shanthi Makka
PY  - 2025
DA  - 2025/11/04
TI  - A Deep Learning Based Brain Tumor Detection and Localization with ResNet-101 Model
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1508
EP  - 1520
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_124
DO  - 10.2991/978-94-6463-858-5_124
ID  - Mothe2025
ER  -