Cysts of the ovary are prevalent. Typically, people experience little to no difficulty, and the cysts are inconsequential. Ovarian cysts can become distorted and even explode at times. This can result in severe symptoms. The majority of cysts resolve on their own after a couple months, but if left ignored, they can cause serious consequences like cancer. The ovary is hidden deep within the abdominal region. As a result, detecting a bulge or expanded area may become more difficult. Occasionally, doctors are unable to discover an anomaly during a pelvic examination. Imaging techniques are commonly employed to detect malignancies. The healthcare business produces vast quantities of data. The application of machine learning approaches can significantly improve both predictions and therapies. The advancement of algorithms for machine learning enables doctors to diagnose and cure diseases more quickly. Five different classes of ovarian cyst Simple Cyst, Polycystic ovary syndrome (PCOS), Dermoid Cyst, Endometriotic cyst, Hemorrhagic cyst are being classified in this work with three different segmentation techniques each employed in an DNN-LGMB model that is created.