Abstract

Cervical Cancer is the fourth most common cause of cancer and death in women [1]. India has one of the largest numbers of cases of cervical cancer and efforts are made to reduce the number of fatalities by improving the techniques of detection. The steps that are followed includes obtaining the microscopic images by Liquid Based Cytology(LBC) method, followed by the classification of the visual input. For this method of classification convolutional neural network is used which is a very powerful technology for the classification of the visual input arising from the detection process. The convolutional neural network used here is the Inception v3. The end-result is the accurate classification of overlapping as well as non-overlapping cervical cancer cells.