Classification of ovarian cyst using soft computing technique

Abstract

Identification of ovarian status and follicle monitoring becomes the most important part in the evaluation of an infertile woman. Ultrasound or sonography has helped in diagnosis and treatment of infertile patients. Ultrasound imaging of the follicles in the ovary gives very important information about the ovary such as type of cyst, number of follicles and size of follicles response to hormonal imbalance. Image Segmentation gives more information in the region of interest in an image and clearly differentiate the object and the background from the image. But it is very hard to perform segmentation on ultrasound images due to presence of noise so by using image preprocessing with morphological operations, detection of follicles becomes easy and effective. Classification of Ovarian cyst is done using fuzzy logic.