@thesis{thesis,
		author={Agtriadi  Herman Bedi and FADHILLAH  WIDYA NUR and Kusward  Dwina},
		title ={SEGMENTASI CITRA MAMMOGRAM KANKER  PAYUDARA MENGGUNAKAN METODE ACTIVE CONTOUR},
		year={2023},
		url={http://156.67.221.169/5655/},
		abstract={Breast cancer is one of the diseases with a high mortality rate. According to data from 
the Global Cancer Observatory in 2018 in Indonesia breast cancer patients ranked first 
with 58,256 new cases and ranked second for death cases totaling 22,692 cases. Breast 
cancer examination can be done using mammography radiology examination, but there 
are difficulties in diagnosing the results because it depends on the quality of the 
mammogram image and the experience of the radiologist. This study was conducted to 
perform segmentation to separate breast cancer lesions from other objects. Initially, the 
mammogram image will be enhanced using Inverse and Contrast Limited Adaptive 
Histogram Equalization (CLAHE) methods. The segmentation method used in this 
research is Active Contour. The implementation of the proposed method is applied to all 
mammogram images sourced from the CBIS-DDSM dataset. Based on testing using the 
Receiver Operating Characteristic (ROC) method, the average accuracy rate is 90.12% 
for benign breast cancer and 82.81% for maglinant breast cancer.}
		}