Abstract

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.

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