Medical image segmentation is crucial for doctors to analyze and diagnose diseases. Different algorithms are used for this purpose, including threshold segmentation, edge-based segmentation, region-based segmentation, neural network-based segmentation, contour model-based segmentation, and statistical major segmentation. The research discusses the current trends in medical image segmentation algorithms.