Abstract
A SURVEY OF LUNG CANCER DETECTION USING MACHINE LEARNING TECHNIQUES FOR IMPROVING CLASSIFICATION PERFORMANCE
*Amit Singh Dr. Rakesh K. Dwivedi and Dr. Rajeev Kumar
ABSTRACT
In India and across the world Lungs Cancer is most leading cause for the death. However the detection of the cancer in the early stage can prevent the many human life and the viability ration increase. Normally five year survival rate of cancer is increase at level 14% to 49% but if the infection is detecting on time. If the detection of the cancer will determine at the early stage and the standard treatment given to the patient then it will move to safe stage. Early detection in the Lungs Cancer cell can help to doctors during a spiky decrease in the death ratio. Different computer aided diagnosis system are developed for the detection of the lungs cancer to reduce the lungs cancer death rates. X-ray image is more efficient then the CT images. So for classification of the Images, use image processing for the finding of disease during this learning. To perform the method like image pre-processing, feature extraction, image segmentation use MATLAB. In this manner to get the better result we use different enhancement & segmentation techniques which are performed on the images.
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