This repository contains the implementation of a semantic segmentation model for lung detection in chest X-ray images. The project was conducted as part of the "Research Seminar: An Introduction to AI" course at HSE University.
The data used in this project comes from the Chest X-ray Dataset for Tuberculosis Segmentation, which provides annotated X-ray images for lung segmentation and tuberculosis detection.
Segmentation is performed using the UNet architecture, which is commonly used for biomedical image segmentation tasks. The model architecture in this project closely follows the design proposed in the original UNet paper.