Application of machine learning
algorithms in breast tumor detection

Computer Engineering & Science

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Application of machine learning

algorithms in breast tumor detection

LI Zhe,L Wei,MIN Hang,CHU Jinghui

(School of Electronic and Information Engineering,Tianjin University,Tianjin 300072,China)

Received:2015-07-01 Revised:2015-11-05 Online:2016-11-25 Published:2016-11-25

Abstract

Abstract:

Machine learning algorithms are playing an increasingly important role in medical detection

and diagnosis, especially for breast tumor classification, detection and diagnosis. We

evaluate these machine learning methods based on criterions including accuracy,

sensitivity, specificity and efficiency. We then summarize the characteristics of different

classifiers according to the experimental results of different breast tumor databases: all

of the classifiers can achieve relatively ideal performance in terms of testing efficiency.

The linear discriminant analysis and the extreme learning machine have excellent

classification performance and high training efficiency while the support vector machine

has average classification performance and a long training time, and the artificial neural

network has relatively low sensitivity but an extremely high specificity.

Key words: breast tumor, machine learning, performance comparison

LI Zhe,L Wei,MIN Hang,CHU Jinghui.

Application of machine learning

algorithms in breast tumor detection

[J]. Computer Engineering & Science.

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Application of machine learning

algorithms in breast tumor detection

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