Abstract
Up to 5–15% of the women affects the reproductive system this abnormality syndrome called Polycystic Ovarian Syndrome (PCOS). Polycystic ovary syndrome (PCOS) has been a gynecological endocrine syndrome that proffers the consequence in health issues of menstrual dysfunctions, androgynism and also infertility. Usually it occurs in reproductive aging women. PCOS directs to unsuitable follicle development of the ovaries that are seized at a former stage. Periodic measurements of the dimension and description of follicles over several days are the crucial means of enquiry by physicians. In this paper, a new algorithm for automatic detection of follicles in ultrasound image for ovaries is suggested. The proposed algorithm uses various edge based methods are using for Ovaries follicles segmentation that is GA with Sobel and GA with Canny. Hence, we compare the variety of these techniques and demands assures the GA with Canny operator provides a better performance on ovarian follicle.
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Himabindu, K., Narasimhulu, S., LawrenceDhreeraj, C., Sarath, T. (2020). Polycystic Ovarian Follicles Segmentation Using GA. In: Jyothi, S., Mamatha, D., Satapathy, S., Raju, K., Favorskaya, M. (eds) Advances in Computational and Bio-Engineering. CBE 2019. Learning and Analytics in Intelligent Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-46939-9_1
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