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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM15246
Volume:
6 |
7 |
Jul 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
One of the major causes of death in humans is due to a disease called Lung Cancer. Cancer is a disease in which cells in the body grow out of control and is one of the most serious health issues. Lung cancer is the uncontrolled cell growth in tissues of lungs. Early detection of the cancer helps the physicians to act quickly which in turn which increase the survival chances of the infected patients. This is a review paper wherein different methodologies for the detection of Lung Cancer from Computed Tomography (CT) scan images are presented. It is observed that Convolution Neural Network along with Image Processing is the most suitable approach to detect the Lung Cancer from the CT scan image which is provided as input.
KEYWORDS
Publication Date
3/6/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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