Lung cancer detection system using lung CT image processing

Registration ID: IJNRD_186283

Published ID: IJNRD2301211

DOI: Click Here to Get

Danish Tadvi , Abhishek Kumbhar , Raj Powar , Ashutosh Koli , NA

Computer tomography, Lung cancer, Haralick, features, artificial neural networks.

Cancer is the root cause of a large number of deaths worldwide, out of which lung cancer is the cause of the highest mortality rates. Computer tomography scan is employed by radiologists to detect cancer in the body and track its growth. Visual interpretation of databases can lead to cancer detection at later stages, thus leading to late treatment of cancer which only boosts up the cancer death rates. Therefore, image processing tools can be used for the early detection of cancer. In this paper, a lung cancer detection algorithm is proposed using mathematical morphological operations for segmentation of the lung region of interest, from which Haralick features are extracted and used for classification of cancer by artificial neural networks.

Published Paper   E-Certificate

Danish Tadvi, Abhishek Kumbhar, Raj Powar, Ashutosh Koli, & NA (January-2023). Lung cancer detection system using lung CT image processing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), c80-c87. https://ijnrd.org/papers/IJNRD2301211.pdf

Volume 8 Issue 1, January-2023

Pages : c80-c87

Paper Reg. ID: IJNRD_186283

Published Paper Id: IJNRD2301211

Downloads: 000121983

Research Area: Computer Science & Technology 

Country: Jalgaon, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301211.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301211

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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