Detecting Malignancy of Ovarian Tumour using Convolutional Neural Network: A Review

Abstract

Ovaries are important part of female reproductive system. The importance of these tiny glands is derived from the production of female sex hormones and female gametes. The location of these ductless almond shaped small glandular organs is on just opposite sides of uterus attached with ovarian ligament. There are many factors due to which ovarian cancer can occur but it can be detected by using various techniques and among them there is one method named as convolutional neural network. This review paper tells us about how we can use Convolutional Neural Network to classify the ovarian cancer tumour and what other ways to deal with it. In this research work we have also discussed about the comparison of various machine learning algorithms like K-Nearest Neighbor, Support Vector Machine and Artificial Neural Network used in detection of ovarian cancer. After comparing the different methods for this cancer detection, it seemed Deep Learning Technique to be the best for yielding results.