Lung Cancer Detection System Using based on deep learning

Registration ID: IJNRD_197207

Published ID: IJNRD2305726

DOI: Click Here to Get

Ramya C , Prof. Aruna P G , Dr. Bhagya H K

Keywords: Cancer Detection; Image processing; Feature extraction; Enhancement Watershed Masking.

Lung cancer stands as one of the most pervasive and deadliest cancer types on a global scale. Detecting lung cancer at an early stage can significantly heighten the likelihood of successful treatment and improved patient outcomes. Over the past years, image processing techniques have emerged as promising tools for facilitating early lung cancer detection. This paper presents a comprehensive review of the image processing techniques employed in lung cancer detection. The study delves into the diverse modalities of medical imaging, including X-rays, CT scans, and MRI, and explores the image processing techniques implemented for feature extraction and classification. The review accentuates the importance of employing image processing techniques for lung cancer detection, as they enable the identification of subtle changes in lung tissue that may elude the human eye. Additionally, the review emphasizes the pressing need for developing more accurate and robust image processing techniques to enhance early detection and treatment of lung cancer. In conclusion, the utilization of image processing techniques for lung cancer detection has demonstrated promise in recent times. This review sheds light on the potential benefits of leveraging these techniques to facilitate early detection and treatment of lung cancer, and highlights the importance of continued research and advancement in this field. Lung cancer is a prevalent and highly lethal form of cancer that affects populations.

Published Paper   E-Certificate

Ramya C, Prof. Aruna P G, & Dr. Bhagya H K (May-2023). Lung Cancer Detection System Using based on deep learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h211-h217. https://ijnrd.org/papers/IJNRD2305726.pdf

Volume 8 Issue 5, May-2023

Pages : h211-h217

Paper Reg. ID: IJNRD_197207

Published Paper Id: IJNRD2305726

Downloads: 000121980

Research Area: Engineering

Country: S.Kodagu, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305726.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305726

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

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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