• SHUBHAM JAYSINGH THAKUR
• Prof. N.N. MANDAOGADE

The cancer is the most dangerous disease since its survival rate is very low. Out of different cancer diseases, the lung cancer is very threatening and danger, since the survival is very less and the early detection is not that easy. Although the medical science is continuously taking this challenge and finding rigorously the accurate and affordable treatment for this disease, but still, this is tough at this moment. But the image processing is contributing to it for the early detection of lung tumors, and classifying them cancerous and non-cancerous. The CT images are useful for detecting the tumor and the track can be made for its growth. This motivated to make research in this field. In this paper, we have collected the dataset and applied several operations such as segmentation and feature extraction and also the classification. This gives considerable accuracy for identifying cancerous and non-cancerous lung nodule.

CT, Lung cancer, Region of interest, SVM.

"TUMOR DETECTION IN LUNGS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b464-b468, July-2021, Available :http://www.jetir.org/papers/JETIR2107187.pdf

"TUMOR DETECTION IN LUNGS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb464-b468, July-2021, Available at : http://www.jetir.org/papers/JETIR2107187.pdf