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Lung Cancer Detection via Image Processing

International Journal of Scientific & Engineering Research Volume 7, Issue 12, December-2016. ISSN 2229-5518. 20. Lung Cancer Detection through Image Processing Abhigna Nishant Sai2 Prof. Tapas Kumar3. 3. School of Computer Science School of Computer Science School of Computer Science and Engineering, Lingaya's and Engineering, Lingaya's and Engineering, Lingaya's University, Haryana, India, University, Haryana, India, University, Haryana Abstract: Lung Cancer has turned out to be the common cancers combined (colon, breast, most widespread genre of Cancer among both Pancreatic) and has been the topic-of-the-hour of men and women. When it comes to improving almost every medical to the the survival rate, the only conceivable solution is American Cancer Society, In 2014, about 224210. its early Detection . CT images are useful in new cases of lung Cancer and an estimated diagnosing the presence of lung Cancer as the 159,260 deaths from lung) were reported in the doctor analyses the CT Image of lungs and US.

different classifier by using WEKA data mining tool. DasuVaman et al. [4] - In this paper, image quality and accuracy are the core factors of this research, image quality assessment as well as improvement are dependent on the enhancement stage where low pre-processing techniques is used, based on Gabor filter within Gaussian rules.

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  Data, Mining, Wake, Weka data mining

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