Image data augmentation for improving performance of deep learning-based model in pathological lung segmentation

Accurate segmentation of lung fields from chest X-ray (CXR) images is very important for subsequent analysis of many pulmonary diseases. Deep Neural Networks (DNN)-based methods have achieved remarkable progress in many image related tasks. However, their performance depends highly on the distribution of training and test samples, and they perform well if both training and test samples are from th...