Cross-Domain Brain CT Image Smart Segmentation via Shared Hidden Space Transfer FCM Clustering | |
Xia, Kaijian1; Yin, Hongsheng2; Jin, Yong3; Qiu, Shi4; Zhao, Hongru5 | |
作者部门 | 光谱成像技术研究室 |
2020-07 | |
发表期刊 | ACM Transactions on Multimedia Computing, Communications and Applications |
ISSN | 15516857;15516865 |
卷号 | 16期号:2s |
产权排序 | 4 |
摘要 | Clustering is an important issue in brain medical image segmentation. Original medical images used for clinical diagnosis are often insufficient for clustering in the current domain. As there are sufficient medical images in the related domains, transfer clustering can improve the clustering performance of the current domain by transferring knowledge across the related domains. In this article, we propose a novel shared hidden space transfer fuzzy c-means (FCM) clustering called SHST-FCM for cross-domain brain computed tomography (CT) image segmentation. SHST-FCM projects both the data samples of the source domain and target domain into the shared hidden space, such that the distributions of the two domains are as close as possible. In the learned shared subspace, the data samples of the source domain serve as the auxiliary knowledge to aid the clustering process in the target domain. Extensive experiments on brain CT medical image datasets indicate the effectiveness of the proposed method. © 2020 ACM. |
关键词 | Image segmentation transfer clustering FCM clustering clinical diagnosis |
DOI | 10.1145/3357233 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000583712600004 |
出版者 | Association for Computing Machinery |
EI入藏号 | 20203209018551 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/93626 |
专题 | 光谱成像技术研究室 |
通讯作者 | Xia, Kaijian |
作者单位 | 1.Changshu No. 1 People's Hospital, Shuyuan road, Changshu, Jiangsu; 215500, China; 2.School of Information and Control Engineering, China University of Mining and Technology, Daxue road, Xuzhou, Jiangsu; 221116, China; 3.School of Computer Science and Engineering, Changshu Institute of Technology, 99 South Third Ring Road, Changshu, Jiangsu; 215500, China; 4.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 17 information Avenue, Xi'an, Shanxi; 710119, China; 5.Department of Neurology, First Affiliated Hospital, Soochow University, 899 Pinghai Road, Suzhou, Jiangsu; 215006, China |
推荐引用方式 GB/T 7714 | Xia, Kaijian,Yin, Hongsheng,Jin, Yong,et al. Cross-Domain Brain CT Image Smart Segmentation via Shared Hidden Space Transfer FCM Clustering[J]. ACM Transactions on Multimedia Computing, Communications and Applications,2020,16(2s). |
APA | Xia, Kaijian,Yin, Hongsheng,Jin, Yong,Qiu, Shi,&Zhao, Hongru.(2020).Cross-Domain Brain CT Image Smart Segmentation via Shared Hidden Space Transfer FCM Clustering.ACM Transactions on Multimedia Computing, Communications and Applications,16(2s). |
MLA | Xia, Kaijian,et al."Cross-Domain Brain CT Image Smart Segmentation via Shared Hidden Space Transfer FCM Clustering".ACM Transactions on Multimedia Computing, Communications and Applications 16.2s(2020). |
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 | ||
Cross-Domain Brain C(4941KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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