Abstract- Lung cancer is the most common cause of cancer will greatly help to save the patient. This research focuses on detection of lung cancer using Artificial Neural Network Back-propagation based Gray Level Co-occurrence Matrices (GLCM) feature. The lung data used originates from the Cancerimagingarchive Database. Data used consisted of 50 CT-images. CT-image is grouped into 2 clusters, normal and lung cancer. The steps of this research are: image preprocessing, region of interest using Neural Network Back-propagation. The results shows system can detect CT-image of normal lung and lung cancer with accuracy of 80%. Hopefully use to help medical personnel and research to detect lung cancer status.