Lung cancer is quite possibly the most risky illness in the world. Various determinations and recognition of cancer in the lungs have been made utilizing different arrangement methods and information investigation. In this paper, a lung cancer detection framework utilizing a support vector machine and image processing are utilized to group the presence of lung cancer in CT scan images and blood tests. The work introduced in this paper is centered on the plan and improvement of a framework for primer conclusion and recognition of lung cancer from CT scan images. Arrangement of various tumor types is in this way imperative to guarantee higher endurance rates. The cycle of arrangement of lung cancer is continually testing. The framework recognizes the various phases of lung cancer which will help the specialists to identify lung cancer precisely and quickly from a lot of information.

Lung Cancer Detection, Support Vector Machine (SVM), CT scan Image, Image Processing, Classification.