Lung Cancer Detection Using Deep Learning Techniques

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Author(s): Manya Sangwan (J.C. Bose University of Science and Technology, India), Sapna Gambhir (J.C. Bose University of Science and Technology, India)and Sumita Gupta (Amity School of Engineering and Technology, Amity University, Noida, India)
Copyright: 2023
Pages: 26
Source title: Applying AI-Based IoT Systems to Simulation-Based Information Retrieval
Source Author(s)/Editor(s): Bhatia Madhulika (Amity University, India), Bhatia Surabhi (King Faisal University, Saudi Arabia), Poonam Tanwar (Manav Rachna International Institute of Research and Studies, India)and Kuljeet Kaur (Université du Québec, Canada)
DOI: 10.4018/978-1-6684-5255-4.ch009

Keywords: Artificial Intelligence / Information Retrieval / Information Science Reference / Library & Information Science

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Abstract

Early detection that can be done to detect lung cancer is through radiological examination. Chest X-Ray or chest radiography is one of the tools that can be used to analyze lung diseases including pneumonia, bronchitis, and lung cancer. The image from the radiography will show the shape of the lungs difference between normal and abnormal lungs. In abnormal lungs, it will show nodules in the lungs on the results radiography image, but on the other hand, in normal lungs, it does not show nodules in the lungs on the radiographic image. This study to detect lung cancer using radiographic images using deep learning techniques. Therefore, by carrying out early revealing of lung cancer, it is hoped that this scheme will provide suitable action and directions for lung cancer patients and decrease lung cancer transience.

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Lung Cancer Detection Using Deep Learning Techniques

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