Ovarian cancer is the eighth most widespread cancer in the world among women. Due to the absence of a specific symptomatology and the lack of a defined screening protocol, this disease is usually diagnosed at an advanced stage, leading to the increase in the corresponding mortality rate. At present, transabdominal sonography (TAS) and transvaginal sonography (TVS) are generally recognised as the main diagnostics techniques for the first identification of the neoplasm. However, it is well known that their diagnostic effectiveness can be seriously compromised by the intrinsic noisy and operator-dependent nature of ultrasound images. In addition, the identification of ovarian structures is a time-consuming task in clinical practice, almost always repetitive and prone to errors when manually performed by medical doctors.