Women around the world are frequently diagnosed with cervical cancer. In the beginning, there are no symptoms for the fourth most common cause of fatality in women. Cells of cervical cancer develop gradually at the cervix. Several studies have mentioned that early detection of cervical tumor is very important for the cancer to be properly treated and to make sure the cancer can be successfully treated while minimizing deaths due to cervical cancer. The diagnosis of such cancer before it spread fast is currently a pressing issue for healthcare professionals. The systematic analysis has many benefits above conventional literature reviews. These evaluations can be improved by having a more defined review procedure, a more important topic of study, and fundamental priorities that can control research bias. This also provides a comprehensive understanding of the physical characteristics of the healthy and unhealthy cervix and aids in early treatment planning by giving detailed information about one another. Utilizing image segmentation, a number of techniques are employed to find malignancy. The dataset contains four distinct pathological pictures, including normal, malignancy, and high-grade squamous intraepithelial lesions (HSIL). While pap tests are the most popular way to diagnose cervical cancer, their accuracy depends a lot on how well cytotechnicians can use brightfield microscopy to spot abnormal cells on smears.
