ABSTRACT
A computer-aided automatic detection and diagnosis method for cervix cancer using Pap smear image is described in this chapter. Cervix disease is the foremost reason behind feminine genital cancers and also severe reason for feminine disease death around the world. A papanicolaou smear is a process performed by the therapist during which a trail of cells are taken from the cervix-uteri using a minor swab and examined for any abnormal microscopic appearances due to HPV infections. The proposed methodology constitutes the following stages: preprocessing, feature extraction, nuclei region segmentation, and classification. Morphological operations are used to segment the nuclei cell region. The features are extracted from the 148re-processed papnicolaou spot cell image. False error rate can be decreased by using the automated process.
