Abstract: Chest radiology is the most common method used for diagnosis of lung diseases, the term lung disease refers to the abnormalities that effect the lung organ, diseases are such as asthma, COPD, lung cancer, pneumonia and many other breathing problems, in this paper, we develop a system that defects and classify the lung diseases as either pneumonia or lung cancer, this is accomplished by two stages they are feature extraction and classification, feature extraction is done through the use of Gabor filter, classification is through the use of neural network’s like feed forward neural network(FFNN), Multi-layer perceptron neural network(MLPNN), Radial Basis Function(RBF).