Enhancing Lung Cancer Detection Using AI-Based Deep Learning Framework

E. S. Vinothkumar, J. Vinoj, M. Nivaashini, A. Ravi Kumar, Ram Ganesh G. H., R. Senthilkumar

2025

Abstract

Cancer of the lungs is considered the global supreme deadly disease that is life-threatening. However, premature diagnosis and appropriate cure are crucial for tumbling the transience rate concomitant with this ailment. Computed tomography scans have emerged as among the most prevalent imagining methods for lung cancer exposure, particularly when coupled with deep learning models. In this study, propose a deep learning framework grounded on a Deep Convolutional Neural Network for the timely exposure of lung cancer expending CT scan images. Additionally, we have analysed the enactment of supplementary models, such as Inception V3, Xception, and ResNet-50, in comparison to our proposed model. Our comparative analysis considered various metrics, including accurateness, Area beneath the Curve, recall, and loss. After appraising the models' presentation, the outcomes show that the DCNN-based approach outperforms the other models and demonstrates promising potential compared to traditional methods. Specifically, the proposed DCNN model attained an precision of 98.27%, an Area Under Curve (AUC) of 97.12%, a recall of 98.70%, and a loss of 0.328.

Paper Citation

in Harvard Style

Vinothkumar E., Vinoj J., Nivaashini M., Kumar A., H. R. and Senthilkumar R. (2025). Enhancing Lung Cancer Detection Using AI-Based Deep Learning Framework. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 643-647. DOI: 10.5220/0013887700004919

in Bibtex Style

@conference{icrdicct`2525,
author={E. Vinothkumar and J. Vinoj and M. Nivaashini and A. Kumar and Ram H. and R. Senthilkumar},
title={Enhancing Lung Cancer Detection Using AI-Based Deep Learning Framework},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={643-647},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013887700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Enhancing Lung Cancer Detection Using AI-Based Deep Learning Framework
SN - 978-989-758-777-1
AU - Vinothkumar E.
AU - Vinoj J.
AU - Nivaashini M.
AU - Kumar A.
AU - H. R.
AU - Senthilkumar R.
PY - 2025
SP - 643
EP - 647
DO - 10.5220/0013887700004919
PB - SciTePress