@thesis{thesis,
		author={Agtriadi  Herman Bedi and Fahira  Annisa Nurul and Kuswardani  Dwina},
		title ={PENERAPAN METODE NILAI AMBANG PADA SEGEMENTASI CITRA CT-SCAN RAHIM PENDERITA KANKER OVARIUM},
		year={2022},
		url={http://156.67.221.169/5799/},
		abstract={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%.}
		}