A Computer-Aided Pap Smear Screening System

With the popularization of Pap test, the rank of cervical carcinoma has a declining trend. Pap test is the most effective method for early screening. Subjective view, heavy duty and overworked were causing the mistakes of the screening. Therefore, the automatic computer-aided system for Pap test is a new trend. In this paper, we used the Bethesda system, a system for reporting cervical or vaginal cytological diagnoses, as the basis of screening, and image processing and computer vision method are applied to retrieve the feature of abnormal cells. In this research, we segment the cell of smear image into nucleus and cytoplasm in HSV color space and calculate the global nuclear-cytoplasm ratio. Next, we find the contour of nuclei by morphological methods. The deformation features are also recorded in this step. Finally, area features of the Syncytium-like cell and color characteristics of the Hyperchromasia cell are estimated. Combine all of the above features, we mark the suspected tumor location with color circle and block as a reference for doctors and medical staff.