Review of Various Techniques Used for Automatic Detection of Malignancy in Pap Smear Test

Cervical cancer is the second-largest toll-taking disease in women all over the world. This paper takes the review of how it is diagnosed and what methods have been developed in computer science for analysing the Pap smear images. We suggest a new method for diagnosing the presence of cervical cancer. This will help classifying the benign and malign cases automatically and only the doubtful cases can be observed by the pathologist, which reduces the burden over him.