CLINICAL FEATURE EXTRACTION OF POLYCYSTIC OVARIES SYNDROME IN ULTRASONOGRAPHY IMAGES AND HORMONAL DATA

Abstract

Ultrasonography imaging of ovaries gives the important information about shape, size, position, number of follicles and the presence of cysts. The features extracted from the segmented image are applied to the K-NN classifier to classify whether the image is normal ovary or cystic ovary. The Statistical Package for Social Sciences (SPSS) tool used to analysis the hormonal data of both Poly cystic ovaries syndrome (PCOS) and control groups. Out Of 100 ultrasonography images 52 patients are diagnosed as PCOS patients 53.6% are have hirsutism, 65.2% are have menstrual disturbance, 32.2% are have normal but irregular cycles and 60.4% have infertility and 48 patients are controls with the normal ovaries on ultrasonography and regular ovulary cycles but they having PCOS. PCOS patients have significantly higher means of FSH, LH, testosterone, androstenedione, prolactin, estradiol and DHEAS levels and higher mean ovarian volume compared to control group. It results 65% of PCOS patients have enlarged ovaries and significantly higher hormonal levels, compared to control group having ovarian volume within normal range.