A Novel Approach for Lung Cancer Detection Using Deep Learning Algorithms


  • Shashikala S. Assistant Professor, Department of Computer Science, New Horizon College. Bengaluru
  • Nargis Parveen Lecturer, Department of Computer Science, Faculty of Computing and Information Technology, Northern Border University, Kingdom of Saudi Arabia
  • Albia Maqbool Lecturer, Department of Computer Sciences Faculty of Computing and Information Technology, Northern Border University, Rafha, Kingdom of Saudi Arabia
  • Humera Khan Assistant Professor, Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Kingdom of Saudi Arabia
  • Sana Khamis Alghadeer Lecturer Northern Border University College of Science
  • Gurwinder Singh Associate Professor, Department of AIT-CSE, Chandigarh University, Punjab, India


Lung cancer, Deep learning, Medical imaging, CNN


Lung cancer is a pervasive and life-threatening disease, often identified at progressive phases, which significantly reduces treatment achievement rates. Early and accurate discovery of lung cancer is paramount for refining patient results. In this research, we present a comprehensive study on the application of deep learning techniques for lung cancer detection. Leveraging a diverse dataset of medical images, we developed and fine-tuned deep convolutional neural networks (CNNs) to identify lung cancer lesions with high sensitivity and specificity. Our results showcase the potential of deep learning as a valuable tool for early lung cancer detection, with the promise of aiding clinicians in timely diagnosis and intervention. We discuss the methodology, experimental results, and the implications of our findings, emphasizing the significant impact on the field of medical imaging and cancer diagnostics.


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Asuntha, A., & Srinivasan, A. (2020). Deep learning for lung Cancer detection and classification. Multimedia Tools and Applications, 79, 7731-7762.

Tekade, R., & Rajeswari, K. (2018, August). Lung cancer detection and classification using deep learning. In 2018 fourth international conference on computing communication control and automation (ICCUBEA) (pp. 1-5). IEEE.

Sun, W., Zheng, B., & Qian, W. (2016, March). Computer aided lung cancer diagnosis with deep learning algorithms. In Medical imaging 2016: computer-aided diagnosis (Vol. 9785, pp. 241-248). SPIE.

Elnakib, A., Amer, H. M., & Abou-Chadi, F. E. (2020). Early lung cancer detection using deep learning optimization.

Radhika, P. R., Nair, R. A., & Veena, G. (2019, February). A comparative study of lung cancer detection using machine learning algorithms. In 2019 IEEE international conference on electrical, computer and communication technologies (ICECCT) (pp. 1-4). IEEE.

Bhatia, S., Sinha, Y., & Goel, L. (2019). Lung cancer detection: a deep learning approach. In Soft Computing for Problem Solving: SocProS 2017, Volume 2 (pp. 699-705). Springer Singapore.

Shakeel, P. M., Burhanuddin, M. A., & Desa, M. I. (2019). Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks. Measurement, 145, 702-712.

Madan, B., Panchal, A., & Chavan, D. (2019, April). Lung cancer detection using deep learning. In 2nd international Conference on Advances in Science & Technology (ICAST).

Joshua, E. S. N., Chakkravarthy, M., & Bhattacharyya, D. (2020). An Extensive Review on Lung Cancer Detection Using Machine Learning Techniques: A Systematic Study. Revue d'Intelligence Artificielle, 34(3).

Rahane, W., Dalvi, H., Magar, Y., Kalane, A., & Jondhale, S. (2018, March). Lung cancer detection using image processing and machine learning healthcare. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1-5). IEEE.

Kalaivani, N., Manimaran, N., Sophia, S., & Devi, D. D. (2020, December). Deep learning based lung cancer detection and classification. In IOP conference series: materials science and engineering (Vol. 994, No. 1, p. 012026). IOP Publishing.

Subramanian, R. R., Mourya, R. N., Reddy, V. P. T., Reddy, B. N., & Amara, S. (2020). Lung cancer prediction using deep learning framework. International Journal of Control and Automation, 13(3), 154-160.

Sori, W. J., Feng, J., Godana, A. W., Liu, S., & Gelmecha, D. J. (2021). DFD-Net: lung cancer detection from denoised CT scan image using deep learning. Frontiers of Computer Science, 15, 1-13.

Jakimovski, G., & Davcev, D. (2018, September). Lung cancer medical image recognition using Deep Neural Networks. In 2018 Thirteenth International Conference on Digital Information Management (ICDIM) (pp. 1-5). IEEE.

Pawar, V. J., Kharat, K. D., Pardeshi, S. R., & Pathak, P. D. (2020). Lung cancer detection system using image processing and machine learning techniques. Cancer, 3(2020), 4.




How to Cite

S., S. ., Parveen, N. ., Maqbool, A. ., Khan, H. ., Alghadeer, S. K. ., & Singh, G. . (2024). A Novel Approach for Lung Cancer Detection Using Deep Learning Algorithms. International Journal of Intelligent Systems and Applications in Engineering, 12(15s), 471–480. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4771



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