  Chest X-ray scan is a most often used modality by radiologists to diagnose
many chest related diseases in their initial stages. The proposed system aids
the radiologists in making decision about the diseases found in the scans more
efficiently. Our system combines the techniques of image processing for feature
enhancement and deep learning for classification among diseases. We have used
the ChestX-ray14 database in order to train our deep learning model on the 14
different labeled diseases found in it. The proposed research shows the
significant improvement in the results by using wavelet transforms as
pre-processing technique.
