In medical imaging, these segments often correspond to different tissue classes, organs, pathologies, or other biologically relevant structures.[1] Medical image segmentation is made difficult by low contrast, noise, and other imaging ambiguities. Although there are many computer vision techniques for image segmentation, some have been adapted specifically for medical image computing. Below is a sampling of techniques within this field; the implementation relies on the expertise that clinicians can provide.