Ovarian cancer is one of the gynecological cancers that ranks third highest after cervical cancer and uterine cancer .In 2018, the incidence of ovaries reached 295,414 with the death rate reaching 184,799 in the world. In the early stages of ovarian cancer, it only affects the ovaries themselves after the next stage, ovarian cancer will also affect surrounding organs such as the uterus, liver, kidneys and lungs. One way to find out the shape of the uterus of ovarian cancer patients is with a CT scan, this is the purpose of the researcher in conducting this study which implements the Threshold Value method against the system created, which aims to find out the shape of the uterus of ovarian cancer patients With ovarian cancer Threshold Value itself is one of the image segmentation methods that separates objects from the background in an image based on
the difference in the level of brightness or dark light. Image regions that tend to be darker will be made darker (perfect black with an intensity value of 0), while image regions that tend to be brighter will be made brighter (perfect white with an intensity value of 1). The result of segmentation accuracy of the Threshold Value method is then calculated using the Mean Square Error (MSE) with an accuracy result of 75%.