Comparative Analysis of Deep Learning Models for Robust Lung Segmentation on Diverse X-Ray Images

This study evaluates and compares the performance of three prominent deep learning models - Lung VAE, TransResUNet, and CE-Net - for the task of lung segmentation on X-ray images, including their robustness to various image augmentations.