Vol. 4 (08) pp. 949-952 DOI: 10.21474/IJAR01/1291

RADON GAS EXPOSURE LUNG CANCER AMONG NON SMOKER SUSING IMAGE MINING.

  • Associate professor,dept.of .computer science,jamal mohamed college, trichy.
  • Asst.prof.of. Computer science, jamal mohamed college, trichy,tamilnadu.
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Abstract

Image Mining is an extended branch of data mining that is concerned with the process of knowledge discovery concerning images. Image Mining deals with the extraction of image patterns from a large collection of images. Image mining is primarily used to the requirements of finding the various applications in diverse fields such as retail, financial, communication, marketing organizations and medicine, For Improve the detection of disease in the medical field image mining techniques is widely used today. This paper describes the process of lung cancer detection and curing possibilities among non smokers. It may recover possible to the early stage. In general lung cancer is the uncontrolled growth of abnormal cells that start off in one or both lungs. The cancer cells can break and damage the tissues and also organs near the tumours of the body. It spread from one place to another. Especially we deals with Radon exposure(1) and how affect non-smokers. Using image quality and accuracy is the main factor for earlier disease detection and treatment stages including non-smokers also. Image mining has two different approaches one is extracted and collected in pattern.

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How to Cite This Article

Dr.M.Mohamed Suphudeen, B.Mohamed Faize Basha. (2016); RADON GAS EXPOSURE LUNG CANCER AMONG NON SMOKER SUSING IMAGE MINING., Int. J. of Adv. Res., 4 (08), 949-952, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/1291

Corresponding Author

B.MOHAMED FAIZE BASHA