European Journal of Molecular & Clinical Medicine

Abstract

Ovarian Cancer is the third leading cancer among women in India. The early detection-rate of ovarian cancer is very low [1]. Transvaginal ultrasound is the most common screening test to detect the presence of tumors but adnexal masses are very common in patients, the challenging part is to discriminate whether the masses are benign or malignant. This distinction is very essential for optimal surgical management, but reliable pre-surgical differentiation is sometimes difficult using clinical features, ultrasound examination, or tumor markers alone[2]. Recent trends in medical imaging facilitate the detection of most cancers at a very initial stage. Still, an ovarian cancer diagnosis is not accurate. The patient has to undergo painful practices such as biopsies or surgeries, even with benign nodules. Ultrasound images with deep learning techniques in ovarian cysts help in diagnosis whether the cyst is benign or malignant at a very early stage without any surgeries. This method not only cuts the medical expenses of the patient but also reduces the mental stress of the patients.