Analysis of various techniques for ovarian cyst segmentation

Abstract

In the female reproductive system, ovary plays a major role. The diseases caused by ovaries are ovarian cysts, ovarian cancer, menstrual cycle disorder and polycystic ovarian syndrome(PCOS). PCOS in women mainly causes infertility. The method of analyzing a polycystic ovarian image varies with every individual patient and a great deal for the image analyst to segment the cyst. This paper reviews several segmentation algorithms like Level set algorithm, K-means clustering and Adaptive thresholding segments the ovarian cyst from the ultrasound images exactly. The four parameters such as accuracy, jaccard coefficient, precision, and sensitivity are used for the evaluation of segmentation processes.