A new breast tumor ultrasonography CAD system based on decision tree and BI-RADS features | |
Huang, Qinghua1,2,3,4; Zhang, Fan4; Li, Xuelong5 | |
作者部门 | 光学影像学习与分析中心 |
2018-11 | |
发表期刊 | WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS |
ISSN | 1386-145X;1573-1413 |
卷号 | 21期号:6页码:1491-1504 |
产权排序 | 5 |
摘要 | In this paper, we present a novel computer-aided diagnostic (CAD) system based on the Breast Imaging Reporting and Data System (BI-RADS) terminology scores of screening ultrasonography (US). The decision tree algorithm is adopted to analyze the BI-RADS information to differentiate between the malignant and benign breast tumors. Although many ultrasonography CAD systems have been developed for decades, there are still some problems in clinical practice. Previous CAD systems are opaque for clinicians and cannot process the ultrasound image from different ultrasound machines. This study proposes a novel CAD system utilizing BI-RADS scoring standard and Classification and Regression Tree (CART) algorithm to overcome the two problems. The original dataset consists of 1300 ultrasound breast images. Three well-experienced clinicians evaluated all of the images according to the BI-RADS feature scoring standard. Subsequently, each image could be transformed into a 25x1 vector. The CART algorithm was finally used to classify these vectors. In the experiments, we used the oversampling method to balance the number of malignant samples and benign samples. The 5-fold cross validation was employed to evaluate the performance of the system. The accuracy reached 94.58%, the specificity was 98.84%, the sensitivity was 90.80%, the positive predictive value (PPV) was 98.91% and the negative predictive value (NVP) was 90.56%. The experiment results show that the proposed system can obtain a sufficient performance in the breast diagnosis and can effectively recognize the benign breast tumors in BI-RADS 3. |
关键词 | Ultrasonography Cad System Breast Tumors Bi-rads Decision Tree |
DOI | 10.1007/s11280-017-0522-5 |
收录类别 | SCI ; EI |
WOS记录号 | WOS:000449485200004 |
出版者 | SPRINGER |
EI入藏号 | 20181505005126 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30721 |
专题 | 光谱成像技术研究室 |
通讯作者 | Huang, Qinghua |
作者单位 | 1.Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Shaanxi, Peoples R China 2.Northwestern Polytech Univ, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China 3.Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China 4.South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China 5.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Qinghua,Zhang, Fan,Li, Xuelong. A new breast tumor ultrasonography CAD system based on decision tree and BI-RADS features[J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,2018,21(6):1491-1504. |
APA | Huang, Qinghua,Zhang, Fan,&Li, Xuelong.(2018).A new breast tumor ultrasonography CAD system based on decision tree and BI-RADS features.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,21(6),1491-1504. |
MLA | Huang, Qinghua,et al."A new breast tumor ultrasonography CAD system based on decision tree and BI-RADS features".WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 21.6(2018):1491-1504. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A new breast tumor u(749KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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