Segmentation of Cervical Cells for Automated Screening of Cervical Cancer: A Review
Abid Sarwar, Abrar Ali Sheikh, Neha Koul · International Journal of Advanced Research in Computer Science and Software Engineering · 2017
In automatic screening of cervical cytology, the morphological features of cell play a determining role. To avoid false diagnosis,exigency to precisely extraction these features led to emergence of new segmentation models. In this paper author aspire to present literature review of research done in the field of segmentation stage in automatic screening of cervical smear images. Total of 35 publications are considered for the time period of 10 years. A detailed study of segmentation technique proposed in each publication is considered, which presents a chronological development and upgradation of segmentation models. This review assist researcher to have thorough knowledge of various state-of-art segmentation models and the problems and complexities required to be tackled, for unambiguous determination of malignancies in cervical cytology.