Comparison between Convolutional Neural Network and Convolutional Neural Network-Support Vector Machines as the classifier for Colon Cancer

Colon Cancer begins in the rectum, and it grows in the last part of the large intestine. In the early stages, there are no symptoms, and it can be identified by the machine learning method. Convolutional Neural Network is a popular method used in machine learning in a wide range of application domains that is known for its high accuracy value. In addition, there is a Support Vector Machine method with several kernel functions that has been applied in the classification. Therefore, the research is aimed at the performance and accuracy of Convolutional Neural Network, and Convolutional Neural Network-Support Vector Machine as the classification of colon cancer.

I. Introduction

Cancer is a disease caused by abnormal growth of cells in the body tissues [1]. The number of cancer patients worldwide is increasing dramatically with the World Health Organization estimate of 18.1 million new cases and 9.6 million deaths in 2018 [2]. Out of the many types, colon cancer is known as the number killer in the world. Patients often ignore because there are no obvious symptoms at an early stage. However, it is developed in the rectum and attacks the large intestine. This occurs when genetic mutations, such as DNA cells grow in a certain part of the body uncontrollably and destructive manner [3].