期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：10
页码：3984-3989
DOI：10.15680/IJIRCCE.2019. 0710006
出版社：S&S Publications
摘要：Lung cancer is one of the growing problems in world and moreover lung cancer detection in the early
stage has become a problem. To save the lives of people early diagnosis should be done. Lung cancer detection can be
done with CT scan imaging but it is difficult for doctors toidentifies the cancer cells from CT scan images. So with the
increase in demand of computers some computer aided techniques in the medical science, image processing and
machine learning has been implemented. The methods help doctor to detect cancer accurately on Time. The aim is to
study the different computer-aided techniques, and compare it with current best technique to find out limitation and
finally propose the new model. The lung cancer detection technique are sorted and listed on the basis of their detection
accuracy. The methods are analyzed and compared to find changes in accuracy. Therefore, target is to increase the
accuracy towards 100%. The comparison of different system is done to find out best method for Lung cancer detection.
