Wan Azani MustafaNur Ain AliasMohd Aminuddin JamlosShahrina IsmailHiam Alquran2024-05-282024-05-2820222023-2-8Wan Azani Mustafa, Nur Ain Alias, Mohd Aminuddin Jamlos, Shahrina Ismail, & Hiam Alquran. (2022). A Recent Systematic Review of Cervical Cancer Diagnosis: Detection and Classification. Journal of Advanced Research in Applied Sciences and Engineering Technology, 28(1), 81–96. https://doi.org/10.37934/araset.28.1.81962462-194310.37934/araset.28.1.8196https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/886https://oarep.usim.edu.my/handle/123456789/7664Volume : 28 No: 1 (page: 81–96)Women around the world are frequently diagnosed with cervical cancer. In the beginning, there were 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 the initial detection of cervical tumours is essential for cancer to be properly treated and to make sure cancer can be successfully treated while minimizing deaths due to cervical cancer. The diagnosis of such cancer before it spreads fast is currently a pressing issue for healthcare professionals. This also provides an extensive understanding with respect to 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, several 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 bright field microscopy to spot abnormal cells on smears.en-USCervical, cancer, detection and classificationArticle8196281