Segmentation in medical images involves dividing the image into regions with similar properties like texture and edges. Different techniques like Thresholding, Clustering, Neural Networks, and more are used for this purpose. The goal is to accurately label and identify boundaries and objects in the image. Various software tools are available for image segmentation. The research reviews existing methods and discusses new trends in the field.