OPT OpenIR  > 光学影像学习与分析中心
The pseudo-label scheme in breast tumor classification based on BI-RADS features
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 proposed method employs the Breast Imaging Reporting and Data System (BI-RADS) feature to classify the breast tumor. Compared with the ultrasound breast tumor classification methods based on the image, the 'semantic gap' between the clinical feature and image feature is eliminated. In order to address the shortage of the labeled data, the pseudo-labeled scheme based on SVM is designed. The SVM classifier is trained by few labeled samples, and the hybrid dataset which contains the pseudo-labeled sample marked by SVM and few labeled samples is adopted to train the decision tree. 500 ultrasound breast tumor cases are collected to evaluate the proposed method. According to the result of the experiment, compared with the decision tree trained by the labeled dataset only, the accuracy of decision tree train by hybrid dataset improves 2.65%, the NPV improves 7.00%, and the Sensitivity increases 3.30%. © 2017 IEEE.

Department光学影像学习与分析中心
DOI10.1109/CISP-BMEI.2017.8302288
Indexed ByEI
ISBN9781538619377
Language英语
EI Accession Number20182205250779
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30316
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 pseudo-label scheme in breast tumor classification based on BI-RADS features[C]:Institute of Electrical and Electronics Engineers Inc.,2018:1-5.
Files in This Item:
File Name/Size DocType Version Access License
The pseudo-label sch(907KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Fan]'s Articles
[Huang, Qinghua]'s Articles
[Li, Xuelong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Fan]'s Articles
[Huang, Qinghua]'s Articles
[Li, Xuelong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Fan]'s Articles
[Huang, Qinghua]'s Articles
[Li, Xuelong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.