• Damodar Dipika A
• Prof. Krunal Panchal

As of late, image preparing systems are generally utilized as a part of a few medicinal zones for image change in prior identification and treatment stages, where the time element is critical to find the anomaly issues in target images, particularly in different growth tumors, for example, lung tumor, breast cancer, and so on. Lung tumor is the most intense kind of malignancy among every one of the diseases with less survival rate. It is exceptionally hard to examine the growth at its initial stage. The most of work done on the Computed Tomography (CT) scan image because of good clarity and low noise. In this paper, different procedures have been talked about for the location of lung cancer and to classify whether it is benign or malignant with the help of ANN (Artificial Neural Network).

Computer Tomography (CT), Image Segmentation, Lunge Tumor

"A Survey of Lung Tumor Detection on CT Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.113-116, December-2015, Available :http://www.jetir.org/papers/JETIR1512019.pdf

"A Survey of Lung Tumor Detection on CT Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp113-116, December-2015, Available at : http://www.jetir.org/papers/JETIR1512019.pdf