Uterine cancer, also known as endometrial cancer, is a form of cancer that affects the female reproductive system. Nowadays, there are 2 step methods that the physician or health care provider tend to use to diagnose cancer, which is using ultrasound technique and endometrial biopsy. The biopsy procedure is used to extract the cell and sent to the pathologist for histopathological image analysis. The histopathological image analysis is the crucial step in all the procedures because it determines the situation for the patient, whether positive or negative. They are two types of cell images known as high grade squamous intraepithelial lesion (HSIL) and low grade squamous intraepithelial lesion (LSIL). The problem occurs when both LSIL and HSIL are different, needing different medical treatment techniques but showing slighter differences in nucleus size cell histopathological image analysis. Therefore, the pathologist usually requires more time to identify whether it is LSIL or HSIL. Based on the limitation, the paper aims to compare a few popular detection methods, which are the Wolf method, Bernsen method, Otsu method and Feng method. Based on the Image Quality Assessment (IQA), the Wolf method shows good performance compared to the others. In a precise term, this finding could benefit the health care community to reduce the diagnosis time to categorize the cell and lead to early treatment of endometrial cancer.
