Lung Cancer Detection and Classification Using Deep Learning

Registration ID: IJNRD_220511

Published ID: IJNRD2405303

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Puja Shinde, Mr. Harish Barapatre

diagnosis ,deep learning ,computed tomography ,

One of the most common and dangerous diseases in the world is lung cancer. Because early diagnosis of lung cancer can increase the patient's chance of survival. One way to examine and identify lung cancer is with computed tomography (CT) imaging, which provides detailed information about the lungs. With the advent of computer-aided computing, deep learning techniques are being widely explored to help transform CT images into evidence of cancer. Then, the aim of this research is to provide detailed information about deep learning strategies designed for the screening and diagnosis of lung cancer. This review includes an overview of deep learning (DL) methods, DL methods and learning strategies recommended for cancer applications. This review focuses on two important issues of deep learning, such as classification and segmentation techniques, in the diagnosis and diagnosis of lung cancer. The goals and disadvantages of existing deep learning models will also be discussed. Research results show that deep learning techniques have significant potential to provide accurate and effective computer-aided lung cancer diagnosis and analysis using CT images. This review is based on a list of potential future studies to advance deep learning to begin the application of computer-assisted lung cancer decision-making.

Published Paper   E-Certificate

Puja Shinde & Mr. Harish Barapatre (May-2024). Lung Cancer Detection and Classification Using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d13-d19. https://ijnrd.org/papers/IJNRD2405303.pdf

Volume 9 Issue 5, May-2024

Pages : d13-d19

Paper Reg. ID: IJNRD_220511

Published Paper Id: IJNRD2405303

Downloads: 000122047

Research Area: Engineering

Author Type: Indian Author

Country: Ranjani, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405303.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405303

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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