Detecting tissues and organs from medical images is an important topic in computer vision. In this work a method is proposed for automatic lung detection from computer tomography (CT) images. The proposed method is based on artificial neural networks (ANN) using super pixels and it is aimed to use as the first stage of a clinical decision support system. The performance of the method is examined on the CT images from the National Lung Screening Trial (NLST) database.