The principal objective of the segmentation process is to partition an image into meaningful regions which correspond to part of, or the whole of, objects within the view. This is done by systematically dividing the whole image up into its constituent areas or regions. Image Segmentation finds its best usage in medical applications. With less risk to the patient, delicate brain's functional and physical characteristics are studied by researchers and physicians using whole slide images. Image segmentation plays a major role in a number of applications that include the identification of anatomical ROIs for diagnosis, treatment and tumor volume measurement. Results from segmentation play an important role in detecting diseases or deficiencies.
