PAP smear Image Classification to Predict Urinary Cancer Using Artificial Neural Networks

Abstract

Cervical cancer ranks the fourth most common women cancers in less developed countries due to lack of skilled medical staffs and medical screening procedures .Cervical cancer occurs without any symptoms when compared to other cancers. The main aim of artificial neural networks is to supply right information at a right time. Hence we implement artificial neural techniques with collected data Analysis,to improve the life of an individual and to decrease the death rate of the society respectively.