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Detection of Lung Cancers From CT Images Using a Deep CNN Architecture in Layers Through ML

Detection of Lung Cancers From CT Images Using a Deep CNN Architecture in Layers Through ML

Khushwant Singh, Yudhvir Singh, Dheerdhwaj Barak, Mohit Yadav
Copyright: © 2023 |Pages: 11
ISBN13: 9798369308769|ISBN13 Softcover: 9798369348390|EISBN13: 9798369308776
DOI: 10.4018/979-8-3693-0876-9.ch006
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MLA

Singh, Khushwant, et al. "Detection of Lung Cancers From CT Images Using a Deep CNN Architecture in Layers Through ML." AI and IoT-Based Technologies for Precision Medicine, edited by Alex Khang, IGI Global, 2023, pp. 97-107. https://doi.org/10.4018/979-8-3693-0876-9.ch006

APA

Singh, K., Singh, Y., Barak, D., & Yadav, M. (2023). Detection of Lung Cancers From CT Images Using a Deep CNN Architecture in Layers Through ML. In A. Khang (Ed.), AI and IoT-Based Technologies for Precision Medicine (pp. 97-107). IGI Global. https://doi.org/10.4018/979-8-3693-0876-9.ch006

Chicago

Singh, Khushwant, et al. "Detection of Lung Cancers From CT Images Using a Deep CNN Architecture in Layers Through ML." In AI and IoT-Based Technologies for Precision Medicine, edited by Alex Khang, 97-107. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/979-8-3693-0876-9.ch006

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Abstract

Lung inflammation is caused by the development of cancer cells. As the frequency of cancer rises, men and women are dying at a higher rate. With malignancy, cancerous cells multiply uncontrollably in the lobes. It is impossible to prevent lung cancer, but we can lower its associated risks. Early detection of lung cancer can considerably improve a patient's chances of survival. Patients with lung disease are more likely to be chain smokers. Several classification methods were applied to assess lung cancer prediction, such as the deep CNN algorithm and deep CNN, with the final layer as machine learning. The first deep CNN model defined this accuracy.

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