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A Review on Early Diagnosis of Lung Cancer from CT Images Using Deep Learning

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Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Lung cancer is one among the lung diseases with a median survival rate where accurate early diagnosis can enhance the patient’s lifespan. Computed tomography (CT) is the most popular method for the diagnostic procedure for lung cancer. The increased number of preventive/early detection measures in the medical field has alleviated the demand for computerized solutions that provide accurate diagnosis in less time at reduced medical costs. Hence, researchers are develo** several deep learning algorithms to improve this accuracy in lung cancer screening with computed tomography. The objective of this paper is to help researchers and doctors in this field to understand the importance of deep learning for early diagnosis of lung cancer and also give a summary of different existing lung cancer predicting deep learning algorithms.

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Acknowledgements

The authors are indebted to the Kerala State Council for Science, Technology and Environment (KSCSTE), Kerala, India, for the funding support under the grant number KSCSTE/972/2018-FSHP-MAIN. The authors are grateful to LBS Institute of Technology for Women, Kerala, India, for meting out the infrastructure and library resources.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, LBS Institute of Technology for Women, APJ Abdul Kalam Technological University, Thiruvananthapuram, India

    Maya M. Warrier & Lizy Abraham

Authors
  1. Maya M. Warrier
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  2. Lizy Abraham
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Corresponding author

Correspondence to Maya M. Warrier .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Rajendra Prasad Yadav

  2. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Satyasai Jagannath Nanda

  3. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Prashant Singh Rana

  4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Meng-Hiot Lim

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Warrier, M.M., Abraham, L. (2023). A Review on Early Diagnosis of Lung Cancer from CT Images Using Deep Learning. In: Yadav, R.P., Nanda, S.J., Rana, P.S., Lim, MH. (eds) Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-8742-7_52

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