TY - GEN
T1 - Comparison between Convolutional Neural Network and Convolutional Neural Network-Support Vector Machines as the classifier for Colon Cancer
AU - Aurelia, Jane Eva
AU - Rustam, Zuherman
AU - Wibowo, Velery Virgina Putri
AU - Setiawan, Qisthina Syifa
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/11/8
Y1 - 2020/11/8
N2 - 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.
AB - 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.
KW - Classification
KW - Colon Cancer
KW - Convolutional Neural Network
KW - Machine Learning
KW - Support Vector Machine
UR - http://www.scopus.com/inward/record.url?scp=85100575844&partnerID=8YFLogxK
U2 - 10.1109/DASA51403.2020.9317103
DO - 10.1109/DASA51403.2020.9317103
M3 - Conference contribution
AN - SCOPUS:85100575844
T3 - 2020 International Conference on Decision Aid Sciences and Application, DASA 2020
SP - 812
EP - 816
BT - 2020 International Conference on Decision Aid Sciences and Application, DASA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Decision Aid Sciences and Application, DASA 2020
Y2 - 7 November 2020 through 9 November 2020
ER -