Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to
detect at initial stage resulting to increased mortality rate. The OC data generated from the …

Ovarian malignant development has a helpless perseverance rate since general analysis
and improved methods are needed for its underlying revelation. Ovarian danger is the sixth …

The timely identification and management of ovarian cancer are critical determinants of
patient prognosis. In this study, we developed and validated a deep learning radiomics …

Ovarian cancer, a group of heterogeneous diseases, presents with extensive characteristics
with the highest mortality among gynecological malignancies. Accurate and early diagnosis …

This paper presents a combined method of content-based retrieval and classification of
ultrasound medical images representing three types of ovarian cysts: Simple Cyst …

Few studies have reported the reproducibility and stability of ultrasound (US) images based
radiomics features obtained from automatic segmentation in oncology. The purpose of this …

Ovarian cyst is a disease that occurs in the uterus of a woman, the method of detection and
analysis is carried out by experts by looking at and observing the size of the cyst and the …

The discrimination between benign and malignant adnexal masses in ultrasound images
represents one of the most challenging problems in gynecologic practice. In the study …

With the development of machine learning and deep learning models, artificial intelligence
is now being applied to the field of medicine. In oncology, the use of artificial intelligence for …

Polycystic Ovary Syndrome (PCOS) is an endrocrinological dysfunction prevalent among
women of reproductive age. PCOS is a combination of syndromes caused by an excess of …