| Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis | |
Huang, Qinghua1; Yang, Feibin1; Liu, Longzhong2; Li, Xuelong3
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| 作者部门 | 光学影像学习与分析中心 |
| 2015-09-01 | |
| 发表期刊 | INFORMATION SCIENCES
 |
| ISSN | 0020-0255 |
| 卷号 | 314页码:293-310 |
| 摘要 | Breast cancer is one of the most commonly diagnosed cancer types among women. Sonography has been regarded as an important imaging modality for diagnosis of breast lesions. Due to the speckle and the variance in shape and appearance of sonographic lesions, fully automatic segmentation of the breast tumor regions still remains a challenging task. In this paper, we propose an automatic interaction scheme based on an object recognition method to segment the lesions in breast ultrasound images. In this scheme, a 2D ultrasound image is firstly filtered with a total-variation model to reduce the speckle noise. A robust graphbased segmentation method is then used to segment the image into a number of subregions. An object recognition method incorporating the procedures of image feature extraction, feature selection and classification is proposed to automatically identify the regions which are associated with breast tumors. Finally, an active contour model is used to refine the contours of the regions that are recognized as tumors. This scheme is validated on a database of 46 breast ultrasound images with diagnosed tumors. The experimental results show that our scheme can segment the breast ultrasound images automatically, indicating its good performance in real applitations. (C) 2014 Elsevier Inc. All rights reserved. |
| 文章类型 | Article |
| 关键词 | Automatic Interaction Image Segmentation Object Recognition Ultrasound |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.ins.2014.08.021 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | GRAPH-BASED SEGMENTATION ; ACTIVE CONTOUR MODEL ; IMAGE SEGMENTATION ; LEVEL SET ; CLASSIFICATION ; CANCER ; FEATURES ; STATISTICS ; ALGORITHMS ; NODULES |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Information Systems |
| WOS记录号 | WOS:000355050200019 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/22389 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China 2.Sun Yat Sen Univ, Ctr Canc, Guangzhou, Guangdong, Peoples R China 3.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Qinghua,Yang, Feibin,Liu, Longzhong,et al. Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis[J]. INFORMATION SCIENCES,2015,314:293-310. |
| APA | Huang, Qinghua,Yang, Feibin,Liu, Longzhong,&Li, Xuelong.(2015).Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis.INFORMATION SCIENCES,314,293-310. |
| MLA | Huang, Qinghua,et al."Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis".INFORMATION SCIENCES 314(2015):293-310. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Automatic segmentati（3161KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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