Lung Nodule Segmentation

Lung nodule segmentation is an important task in medical image analysis, aiming to accurately locate and delineate the boundaries of nodule regions in lung CT images using computer algorithms. The goal of this technology is to improve the accuracy and efficiency of nodule detection, providing a reliable basis for early lung cancer diagnosis. Its application value lies in assisting doctors in making more precise clinical evaluations, reducing missed and false diagnoses, and enhancing patient treatment outcomes.