Ovarian Follicle Recognition for Polycystic Ovary Syndrome

Polycystic Ovary Syndrome (PCOS) is a complicated endocrine disorder, which affects various women at the stage of puberty and reproduction. The disorder causes specific side effects such as infertility, obesity, cardiovascular disease and high blood sugar. Diagnosis takes place by biochemical and imaging parameters. The main principle depends on polycystic ovaries with cysts and dense stroma. Follicles overlap at ultrasound valuation, and the appearance may be challenging as well as time-consuming. The version will change from one operator to another operator since it depends more on experience. In order to defeat specific problems, a scheme operates by automation and detects the features of disease pattern. Initially, multi-scale morphological actions pre-process an ultrasound input image for contrast enhancement. The extraction of follicles configuration use the concept of scan-line thresholding. The results compared with the choice of mans idea in order to confirm the effectiveness of the method.