A Comparative Study of Deep Learning and Fuzzy Logic in the Diagnosis of Ovarian Cancer

Ovarian cancer is still one of the deadliest gynecological cancers, and survival rates are only increasing with early detection. Even with advances in traditional diagnostic methods, problems such as vague biomarkers and asymptomatic early stage hinder timely diagnosis. FL and DL are the two computer approaches that have lately shown great promise in processing complex, vague, and ambiguous medical data. This review looks into the synergistic use of DL and FL in review diagnosing ovarian cancer while bringing forward the present developments, difficulties, and paths ahead. In this paper we had discussed forward the present developments, difficulties, and paths ahead. In this paper we had discussed research work published between 2022 and 2024 extensively giving attention to their datasets, methodology, and possible clinical applications.