A Deep Learning Method for Lung Segmentation on Large Size Chest X-Ray Image

摘要

Lung segmentation on chest X-ray image is an important task for image analysis and computer-aided diagnosis. It can improve the performance of diagnosis or lung rib suppression. Some methods have developed to address this problem. However, processing large chest X-ray image is still a challenge. This study proposes a deep learning method for lung segmentation on large size chest X-ray image. The performance was evaluated on a set of fifty large chest X-ray images. The experimental results show that the proposed method is promising.