Аннотация:In recent time the Lungs Cancer diseases are increases widely, the human body made up of with diverse fundamental organs, one of those is Lung, The Lungs are of two section right lung and left lung and function of lungs are to trade of gas which we called as breathing or respiration.The present modern lifestyle, ecological contamination is colossally expanding the Human Lungs issue.What's more, correspondingly there are various Image processing techniques are concocting the tremendous answer for the Medical field to identify and analyze the Lungs illnesses.This article is contemplating and exploring few of those Image Processing techniques, The Computer Aided Diagnosis (CAD) frameworks requires the preprocessing and highlight extraction from X-rays, Computer Tomography (CT) scan to analyze the Lungs disorders in human body, this paper is bringing the emerging image processing and machine learning techniques for implementing purpose, and by comparing the diverse classification techniques will assist to improve the accuracy in lung cancer detection system using robust segmentation and classification techniques.
