哪位大侠可以帮我查查这篇文章有没有被SCI检索,检索号是多少?谢谢!

发布网友发布时间：2022-04-30 14:32

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热心网友时间：2022-06-23 04:36

恭喜，检索了！

CSDL Union Library of CAS NJU Nanjing Forestry University NCL OPAC (0) 保存为: 更多选项

Using X-Ray In-Line Phase-Contrast Imaging for the Investigation of Nude Mouse Hepatic Tumors
作者: Tao, Q (Tao, Qiang)1; Li, DY (Li, Dongyue)1,2; Zhang, L (Zhang, Lu)1; Luo, SQ (Luo, Shuqian)1
来源出版物: PLOS ONE 卷: 7 期: 6 文献号: e39936 DOI: 10.1371/journal.pone.0039936 出版年: JUN 28 2012
被引频次: 0 (来自 Web of Science)
引用的参考文献: 29 [ 查看 Related Records ] 引证关系图
摘要: The purpose of this paper is to report the noninvasive imaging of hepatic tumors without contrast agents. Both normal tissues and tumor tissues can be detected, and tumor tissues in different stages can be classified quantitatively. We implanted BEL-7402 human hepatocellular carcinoma cells into the livers of nude mice and then imaged the livers using X-ray in-line phase-contrast imaging (ILPCI). The projection images' texture feature based on gray level co-occurrence matrix (GLCM) and al-tree complex wavelet transforms (DTCWT) were extracted to discriminate normal tissues and tumor tissues. Different stages of hepatic tumors were classified using support vector machines (SVM). Images of livers from nude mice sacrificed 6 days after inoculation with cancer cells show diffuse distribution of the tumor tissue, but images of livers from nude mice sacrificed 9, 12, or 15 days after inoculation with cancer cells show necrotic lumps in the tumor tissue. The results of the principal component analysis (PCA) of the texture features based on GLCM of normal regions were positive, but those of tumor regions were negative. The results of PCA of the texture features based on DTCWT of normal regions were greater than those of tumor regions. The values of the texture features in low-frequency coefficient images increased monotonically with the growth of the tumors. Different stages of liver tumors can be classified using SVM, and the accuracy is 83.33%. Noninvasive and micron-scale imaging can be achieved by X-ray ILPCI. We can observe hepatic tumors and small vessels from the phase-contrast images. This new imaging approach for hepatic cancer is effective and has potential use in the early detection and classification of hepatic tumors.
入藏号: WOS:000305826400045
文献类型: Article
语种: English
KeyWords Plus: MICROTOMOGRAPHY
通讯作者地址: Tao, Q (通讯作者),Capital Med Univ, Sch Biomed Engn, Beijing, Peoples R China.
地址:
1. Capital Med Univ, Sch Biomed Engn, Beijing, Peoples R China
2. Tianjin Med Univ, Sch Med Image, Tianjin, Peoples R China
基金资助致谢:
基金资助机构授权号
National Natural Science Foundation of China 60532090
30770593
European Community PIRSES-GA-2009-269124

[显示基金资助信息][隐藏基金资助信息]
This study was supported by National Natural Science Foundation of China, Grant Nos. 60532090 and 30770593, and by the 7th Framework Programme of the European Community, Grant Agreement Number: PIRSES-GA-2009-269124. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

出版商: PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
Web of Science 类别: Biology
研究方向: Life Sciences & Biomedicine - Other Topics
IDS 号: 966GR
ISSN: 1932-6203追问WOS号就是检索号么？WOS号和ISI号有什么区别？

追答入藏号: WOS:000305826400045