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The Korean Journal of Cytopathology 1994;5(1): 15-22.
A Study on an Automatic Detection of Uterine Cervical Pap-smears by Image Processing.
Sung Kyung Un, Chan Mo Park, Hwa Choon Park, So Young Yoon, Min Sun Cho, Soo Yeon Cho, Sung Sook Kim
1Department of Computer Science Pohang Institute of Science and Technology, Korea.
2Department of Pathology Ewha Woman's University Hospital, Korea.
ABSTRACT
Cancer of the cervix is the most common malignancy in women in developing countries and the second most common cancer in women throughout the world with approximately 500,000 new cases each year. Prevention of this large number of premature deaths among women is, therefore, a goal worthy of urgent and serious consideration. In this thesis, an automatic cancerous nucleus detection method essential to a screening system with Papanicolaou stained specimens called Pap-smear is proposed which employs image processing techniques. It uses edge information to segment objects and morphologic as well as densitometric information to distinguish cancerous nuclei from dirts or normal nuclei. It has produced useful results in our study.
Key Words: Image Processing; Automatic Detection; Pap-smear; Cancer of the cervix
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