Computer Aided Detection of Cervical Cancer Using Pap Smear Images Based on Adaptive Neuro Fuzzy Inference System Classifier

Pap smear is a screening methodology for cervix cancer detection and diagnosis. The Pap smear images of cervical region are used to detect the abnormality of the cervical cells. In this Paper, the computer aided automatic detection and diagnosis method for cervix cancer using Pap smear image is proposed. The proposed methodology consists of the following stages as preprocessing, feature extraction, nuclei region segmentation and classification. Morphological operations are used to segment the nuclei cell region. The Grey level, wavelet and GLCM (Grey level co-occurrence matrix) features are extracted from normal and dysplastic cell nucleus. These extracted features are trained and classified using ANFIS (Adaptive neuro fuzzy inference system) classifier. The proposed method achieved 92.68% sensitivity, 99.65% specificity and 98.74% accuracy for dysplastic cell segmentation.