A breakthrough in medical imaging, the D-S-Net deep learning framework significantly improves precision in lung cancer tumor boundary delineation, facilitating better Gross Tumor Volume (GTV) segmentation in CT scans. Accurate tumor segmentation is crucial for radiation therapy planning and assessing treatment response. The research, documented in BMC Cancer, highlights the potential of artificial intelligence to augment oncological imaging workflows and improve clinical outcomes.