Enhancing Chest X-ray Lung Segmentation with a Novel U-Net Architecture Integrating Convolutional Block Attention Module

A novel approach to enhance chest X-ray lung segmentation by integrating U-Net with a Convolutional Block Attention Module (CBAM) that unifies channel, spatial, and pixel attention mechanisms.