Cervical cancer is a preventable disease and the dysplasia it causes can be scanned by
using a pap smear test. It can be beneficial to develop a computer-assisted diagnosis …

Nuclei segmentation of the epithelial cells of a Pap smear image is an important step in
order to have correct morphometric measures. This task is non trivial due to the complexities …

The key step of a computer-assisted screening system that aims early diagnosis of cervical
cancer is the accurate segmentation of cells. In this paper, we propose a two-phase …

Malignant tumor, also known as carcinoma, is the first top 10 causes of death in which the
cervical carcinoma is the top 5 common cancer of women. With the popularization of Pap …

Nuclei of the epithelial of Pap smear cells are important risk indicator of cervical cancers.
Pathologist uses the changing of the area of the nuclei to determine whether cells are …

Cervical cancer is caused by the growth of abnormal cells in the cervix's lining. Human
papillomavirus (HPV), a sexually transmitted infection, plays a role in most cervical cancers …

The key of a computer-assisted diagnosis system for screening of cervical cancer is the
accurate segmentation of cells. In this paper, an adaptive segmentation algorithm based on …

In this work we present a fully automated method for the accurate detection of cell nuclei
boundaries in conventional Pap smear images, based on the watershed transform. For the …

Cervical cancer is the second most common gynecologic cancer worldwide. Unlike the other
cancers it does not show any symptoms in its earlier stage which causes mortality among …

The automation process of Pap smear analysis holds the potential to address women's
health care in the face of an increasing population and respective collected data. A …