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

Jane Eva Aurelia, Zuherman Rustam, Velery Virgina Putri Wibowo, Qisthina Syifa Setiawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2020 International Conference on Decision Aid Sciences and Application, DASA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages812-816
Number of pages5
ISBN (Electronic)9781728196770
DOIs
Publication statusPublished - 8 Nov 2020
Event2020 International Conference on Decision Aid Sciences and Application, DASA 2020 - Virtual, Sakheer, Bahrain
Duration: 7 Nov 20209 Nov 2020

Publication series

Name2020 International Conference on Decision Aid Sciences and Application, DASA 2020

Conference

Conference2020 International Conference on Decision Aid Sciences and Application, DASA 2020
CountryBahrain
CityVirtual, Sakheer
Period7/11/209/11/20

Keywords

  • Classification
  • Colon Cancer
  • Convolutional Neural Network
  • Machine Learning
  • Support Vector Machine

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