Lungs Cancer Detection using Convolutional Neural Network

Authors

  • Qamber Abbas Student, Tiajin University, Tianjin, China
  • Muhammad Asif Student, Northwestern Polytechnical University, Xian, China
  • Muhammad Qasim Yasin Student, Tiajin University, Tianjin, China

Keywords:

Deep learning, Image processing, CNN

Abstract

The evaluation of assessment is based on scrutinizing the process of using CNN for the detection of lung cancer. There is no doubt in saying that lung cancer is recognized as one of the most dreadful and killer disease in multiple developing counties and detecting cancer is still considered as a significant challenge. Cure and analysis of lung malignancy has been one of the most significant difficulties which many humans have been facing from last couple of years. The purpose of evaluating this research and solving this problem is to reduce the death rate by increasing the accuracy of lung cancer detection. The proposed model uses the CNN techniques from deep learning that can show more accurate results than previous technologies. The detection of lung cancer by using the CNN technique is the main goal as it also provides detection accuracy.

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Published

20-04-2022

Issue

Section

Articles

How to Cite

[1]
Q. Abbas, M. Asif, and M. Q. Yasin, “Lungs Cancer Detection using Convolutional Neural Network”, IJRAMT, vol. 3, no. 4, pp. 90–92, Apr. 2022, Accessed: Nov. 22, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/1950