Medical Imaging is a necessary component of many applications, such as clinical diagnosis, event tracking and decision making. Segmentation of anatomical organs in a medical image is a helpful processing of medical images for clinical purposes. Accurate manual segmentation requires considerable efforts and time, due to some challenges such as the invisibility of some organs in an image, for example. Here, image processing techniques are used to facilitate and improve the accuracy of such a segmentation.
