A Comparative Study on Lung Cancer Detection using Deep Learning Algorithms

International Journal of Computer Science and Engineering

© 2022 by SSRG - IJCSE Journal

Volume 9 Issue 5

Year of Publication : 2022

Authors : S. Farjana Farvin, S. Krishna Mohan

10.14445/23488387/IJCSE-V9I5P101

How to Cite?

S. Farjana Farvin, S. Krishna Mohan, "A Comparative Study on Lung Cancer Detection using Deep Learning Algorithms," SSRG International Journal of Computer Science and Engineering , vol. 9,  no. 5, pp. 1-4, 2022. Crossref, https://doi.org/10.14445/23488387/IJCSE-V9I5P101

Abstract:

Because of its aggressive nature and late diagnosis at advanced stages, lung cancer is one of the major causes of cancer-related mortality. Early identification of lung cancer is critical for a person's survival, yet it is a difficult challenge to solve. Cancer identification is crucial for clinical and epidemiologic reasons since it helps to determine subsequent therapy. This paper reviews the performance of various deep-learning techniques in detecting lung cancer.

Keywords:

Convolution neural network, Machine learning, Deep learning, Recurrent neural network, Deep belief neural network.

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