Automated algorithm for ovarian cysts detection in ultrasonogram

Abstract

Polycystic Ovary Syndrome (PCOS) is a female endocrine disorder which severely affects women's health and its diagnostic requires medical treatment or even surgery. Manual analysis of PCOS diagnosis often produces errors. Recently, many automated algorithms have been studied for polycysts detection in Ultrasound images. This paper presents cysts detection and classification in the ovary ultrasound images with an accuracy that reaches 90%.