Automatic detection of major lung diseases using Chest Radiographs and classification by feed-forward artificial neural network

Chest Radiograph is the preliminary requirement for the identification of lung diseases. Tuberculosis; pneumonia and lung cancer these lung diseases are major health threat. According to recent survey; which was given by WHO; rate of people dying due to late diagnosis of lung diseases is in millions. Early diagnosis of these diseases can curb mortality rate. This paper proposes lung segmentation; lung feature extraction and it's classification using artificial neural network technique for the detection of lung diseases such as TB; lung cancer and pneumonia. We have used the simple image processing techniques like intensity based method and discontinuity based method to detect lung boundaries. Statistical and geometrical features are extracted. Image classification using feed forward and back propagation neural network to detect major lung diseases.