Computer-assisted systems have been widely used as tools to support medical experts in
various fields, including the analysis of cervical cytology. However, due to patient privacy …

Cervical cancer is a significant health issue, and early detection is crucial for increasing the
chances of successful treatment. In recent years, research has focused on developing an …

Early detection and classification of cervical cancer helps to promote consistent clinical
management of patients. Different forms of computing approaches have been employed to …

After widespread breast cancer, cervical cancer has risen to the status of the third most
frequent malignancy in the in-universe population. The majority of cancer cases have a …

Cervical cancer is a major health concern, and healthcare images play a major role in the
analysis and handling of this disease. Three popular deep learning models that can be …

In the process of computer-assisted cervical cancer detection, one of the most critical
challenges is the detection of aberrant cervical cells. In this research, we devise an artificial …

The chance to preserve a life is provided by early identification of cervical cancer, which is
the fourth most common malignancy among women globally. Early diagnosis can lower its …

Malignant growth in the cervical area is the fourth most common cause of death in women
worldwide. The global burden of cervical cancer has decreased as a result of early …

Cervical cancer ranks the fourth most common cancer among females worldwide with
roughly 528, 000 new cases yearly. Around 85% of the new cases occurred in less …

Cervical cancer is the fourth most frequent cancer in women and the eighth most commonly
occurring cancer overall. Despite medical and scientific advances, there is no total effective …