文章基本信息

标题：Detection of Different Stages of Lungs Cancer in CT-Scan Images using Image Processing Techniques
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作者：Priyanka Basak ; Asoke Nath
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：2017
卷号：5
期号：5
页码：9708
DOI：10.15680/IJIRCCE.2017.0505072
出版社：S&S Publications
摘要：The most trivial cancer seen in both men and women cancer is Lung cancer (small cell and non-smallcell). The survival rate among people increased by early diagnosis of lung cancer. Due to structure of cancer cell theprediction of lung cancer is the most challenging problem, where most of the cells are overlay each other. Recently, theimage processing mechanisms are used extensively in medical areas for earlier detection of stages and its treatment,where the time factor is very crucial. Detection of cancer cell in lung cancer patients in time will cause overall 5-yearsurvival rate increasing from 14 to 49%. In the present paper the authors have proposed Lung cancer detection systemusing image processing technique to classify the presence of cancer cells in lung and its stages from the CT-scanimages using various enhancement and segmentation techniques, aiming for accuracy in result.
关键词：Lung cancer; extraction; segmentation; accuracy; Watershed; Thresholding; Masking; Classification