Finding Of Cysts In Therapeutic Ultrasound Images Of Ovary
It is important to know about the ovarian status for fertility related treatments. Ultrasound imaging of ovaries
gives the important information about shape, position, size, no of follicles and presence of cysts etc. In this paper a method
is proposed to identify whether the ovary is normal or cystic ovary. In preprocessing stage the Gaussian low pass filter is
applied for image denoising. Region based active contour without edges is used for the segmentation, then morphological
operations are applied for removing unwanted regions. The geometrical features extracted from the segmented image are
applied for the k-NN classifier to classify whether the image is normal ovary or cystic ovary.