TY - JOUR
T1 - Computer-Aided Diagnosis Based on Extreme Learning Machine
T2 - A Review
AU - Wang, Zhiqiong
AU - Luo, Yiqi
AU - Xin, Junchang
AU - Zhang, Hao
AU - Qu, Luxuan
AU - Wang, Zhongyang
AU - Yao, Yudong
AU - Zhu, Wancheng
AU - Wang, Xingwei
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - Computer-Aided Diagnosis (CAD) can improve the accuracy of diagnosis effectively, reduce the rate of misdiagnosis, and provide the support for the valid decision. In clinical applications, high requirements are often imposed on the execution speed and accuracy of CAD systems. The classifier is regarded as the core of the CAD system, that is, the performance of the classifier will have a decisive influence on the operating affection of the CAD system. Extreme Learning Machine (ELM) is a fast learning algorithm using Single Hidden Layer Feedforward Neural Network (SLFN) structure. With its advantages in training speed, generalization performance and accuracy, ELM has draw attention in many research fields, including the development of CAD system. The applications of ELM in CAD are reviewed in this research. First, the mathematical model of ELM and framework of CAD system are briefly introduced. Then, the application of ELM in CAD is reviewed in detail, including the feature modeling method combined with ELM in CAD and the specific application of ELM. Finally, we summarized the current research status of CAD systems based on ELM, and the future work is prospected.
AB - Computer-Aided Diagnosis (CAD) can improve the accuracy of diagnosis effectively, reduce the rate of misdiagnosis, and provide the support for the valid decision. In clinical applications, high requirements are often imposed on the execution speed and accuracy of CAD systems. The classifier is regarded as the core of the CAD system, that is, the performance of the classifier will have a decisive influence on the operating affection of the CAD system. Extreme Learning Machine (ELM) is a fast learning algorithm using Single Hidden Layer Feedforward Neural Network (SLFN) structure. With its advantages in training speed, generalization performance and accuracy, ELM has draw attention in many research fields, including the development of CAD system. The applications of ELM in CAD are reviewed in this research. First, the mathematical model of ELM and framework of CAD system are briefly introduced. Then, the application of ELM in CAD is reviewed in detail, including the feature modeling method combined with ELM in CAD and the specific application of ELM. Finally, we summarized the current research status of CAD systems based on ELM, and the future work is prospected.
KW - Computer-aided diagnosis
KW - extreme learning machine
KW - machine learning
KW - review
UR - http://www.scopus.com/inward/record.url?scp=85089954988&partnerID=8YFLogxK
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U2 - 10.1109/ACCESS.2020.3012093
DO - 10.1109/ACCESS.2020.3012093
M3 - Review article
AN - SCOPUS:85089954988
VL - 8
SP - 141657
EP - 141673
JO - IEEE Access
JF - IEEE Access
M1 - 9149924
ER -