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The application of BI-RADS feature in the ultrasound breast tumor CAD system
Zhang, Fan1; Huang, Qinghua1; Li, Xuelong2; Huang, Qinghua (qhhuang@scut.edu.cn)
2018-02-22
Conference Name10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
Source PublicationProceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
Volume2018-January
Pages1-5
Conference Date2017-10-14
Conference PlaceShanghai, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank2
Abstract

The breast cancer is one of the most common diseases in women. This paper proposed a breast tumor computer aided diagnosis (CAD) system utilized the Breast Imaging Reporting and Data System (BI-RADS) features. The BI-RADS feature scoring scheme is designed to transform the BI-RADS report to a vector. And the decision tree algorithm is adopted to classify the vector. Compared with previous CAD system, the proposed system is easier to be understood by the clinician. Without the image preprocessing, the proposed system can be applied in different ultrasound machines. There are 440 samples collected from the Cancer Center of Sun Yat-sen University. In the experiment, the five-fold cross validation is employed to evaluate the proposed system. The result shows that the performance of the proposed system is better than the CAD method which takes the BI-RADS feature as a guide to extract features from images. The average accuracy achieves 89.38%, specificity is 90.74%, sensitivity is 86.18%, positive predictive value (PPV) reaches 93.57% and negative predictive value (NVP) is 79.82%. © 2017 IEEE.

Department光学影像学习与分析中心
DOI10.1109/CISP-BMEI.2017.8302276
Indexed ByEI
ISBN9781538619377
Language英语
EI Accession Number20182205251253
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30319
Collection光学影像学习与分析中心
Corresponding AuthorHuang, Qinghua (qhhuang@scut.edu.cn)
Affiliation1.School of Electronic and Information Engineering, South China University of Technology, Guangzhou; 510641, China
2.Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi; 710119, China
Recommended Citation
GB/T 7714
Zhang, Fan,Huang, Qinghua,Li, Xuelong,et al. The application of BI-RADS feature in the ultrasound breast tumor CAD system[C]:Institute of Electrical and Electronics Engineers Inc.,2018:1-5.
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