New algorithm revolutionizes liver image segmentation for precise medical diagnoses!
A new algorithm was developed to better separate liver images in CT scans. By combining two methods, the algorithm can find both local and global features in the images. This helps to accurately identify the liver area without needing much input from users. Tests on CT images of the abdomen showed that this algorithm can improve segmentation accuracy with minimal effort.
