  In this work, we propose advanced pneumonia and Tuberculosis grading system
for X-ray images. The proposed system is a very deep fully convolutional
classification network with online augmentation that outputs confidence values
for diseases prevalence. Its a fully automated system capable of disease
feature understanding without any offline preprocessing step or manual feature
extraction. We have achieved state- of-the- art performance on the public
databases such as ChestXray-14, Mendeley, Shenzhen Hospital X-ray and Belarus
X-ray set.
