Please wait a minute...
J4  2012, Vol. 46 Issue (7): 1307-1313    DOI: 10.3785/j.issn.1008-973X.2012.07.024
计算机技术﹑电信技术     
基于图表标题信息的在线生物文献MRI图像检测
戴兴虎1,钱沄涛1,唐凤仙1,2,居斌 1
1. 浙江大学 计算机科学与技术学院,浙江 杭州 310027;2. 广西河池学院 计算机与信息科学系,广西 宜州 546300
Figure caption based MRI image detection from
online biological literature
DAI Xing-hu1, QIAN Yun-tao1, TANG Feng-xian1, 2, JU Bin1
1. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;
2. Department of Computer and Information Science, Hechi University, Yizhou 546300, China
 全文: PDF  HTML
摘要:

提出通过图表标题信息来检测在线生物文献中核磁共振图像的新方法.学术文献中每张图表都有对应的图表标题,而图表一般由多个嵌图组成,图表标题中不同文本是对不同嵌图的文字解释.将图表标题分割成与嵌图匹配的嵌图标注,利用嵌图标注来完成核磁共振图像的检测.依托正则语言理论,寻找图表标题中指向嵌图的图像指针,图像指针将图表标题分割成嵌图标注并与对应嵌图进行匹配.在分析嵌图标注的基础上,提出嵌图混合标注方法,根据图表仅包含同类型嵌图和包含不同类型嵌图2种情况,分别采用嵌图标注或者整个未分割标题作为图像识别的文本特征.实验结果表明,该方法可以很好地识别在线生物文献中的核磁共振图像.

Abstract:

A new method was presented to identify magnetic resource images (MRI) from online biological literature, which was based on the captions of figures in literature. In academic papers, every figure has its corresponding caption. A figure is often consisted of more than one panel and its different parts of caption cover their corresponding panels. Therefore, a caption requires to be segmented into several panel-annotations to identify the MRI images in panels. Regular expression theory was employed to find the image points in caption and use them to cut a caption into the panel-annotations, so that the panel-annotations were matched to the panels. A mix-annotation method was proposed according to the two different cases that the panels in a figure were the same type or not,  in which the panel-annotation or the total caption was selected relying on which case the figure was. Experimental results show the method has a better performance of detecting MRIs from online biological literature.

出版日期: 2012-07-01
:     
基金资助:

国家“973”重点基础研究发展规划资助项目(2012CB316400);国家自然科学基金资助项目(60872071);浙江省自然科学基金资助项目(Y1101359).

通讯作者: 钱沄涛,男,教授,博导.     E-mail: ytqian@zju.edu.cn
作者简介: 戴兴虎(1988-),男,硕士生,从事人工智能研究. E-mail: daixh6454@126.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

戴兴虎,钱沄涛,唐凤仙,居斌. 基于图表标题信息的在线生物文献MRI图像检测[J]. J4, 2012, 46(7): 1307-1313.

DAI Xing-hu, QIAN Yun-tao, TANG Feng-xian, JU Bin. Figure caption based MRI image detection from
online biological literature. J4, 2012, 46(7): 1307-1313.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2012.07.024        http://www.zjujournals.com/eng/CN/Y2012/V46/I7/1307

[1] YU H, LEE M. Accessing bioscience images from abstract sentences [J]. Bioinformatics, 2006, 22(14): 547-556.
[2] SHATKAY H, CHEN N, BLOSTEIN D. Integrating image data into biomedical text categorization [J]. Bioinformatics, 2006, 22 (14): 446-453.
[3] XU Songhua, MCCUSHER J, KRAUTHAMMER M. Yale image finder (YIF): a new search engine for retrieving biomedical images [J]. Bioinformatics, 2008, 24(17): 1969-1970.
[4] YU H, LIU F, RAMESH B P. Automatic figure ranking and user interfacing for intelligent figure search [J]. PLoS ONE, 2010, 5(10): e12983.
[5] HEARST M A, DIVOLI A, GUTURN H, et al. BioText search engine: beyond abstract search [J]. Bioinformatics, 2007, 23 (16): 2196-2197.
[6] DIVOLI A, WOOLDRIDGE M A, HEARST M A. Full text and figure display improves bioscience literature search [J]. Public Library of Science One, 2010, 14 (5): e9619.
[7] AHMED A, COELHO L, ARNOLD A, et al. Structured literature image finder: extracting information [J]. Web Semantics: Science, Services and Agents on the World Wide Web, 2010, 8 (2): 151-154.
[8] QIAN Y, MURPHY R F. Improved recognition of figures containing fluorescence microscope images in online journal articles using graphical models [J]. Bioinformatics, 2008, 24 (4): 569-576.
[9] MURPHY R F, VELLISTE M, PORRECA G. Robust numerical features for description and classification of subcellular location patterns in fluorescence microscope images [J]. The Journal of VLSI Signal Processing, 2003, 35(3): 311-321.
[10] MURPHY R F, VELLISTE M, YAO J, et al. Searching online journals for fluorescence microscope images depicting protein subcellular location patterns [C]∥Bourbakis NG, eds. IEEE International Symposium on Bioinformatics and Bioengineering. Washington DC: IEEE, 2001: 119-128.
[11] LIU F, JENSSEN T K, NYGAARD V, et al. FigSearch: a figure indexing and classification system [J]. Bioinformatics, 2004, 20 (16): 2880-2882.
[12] YOSHIZAKO T, WADA A, HAYASHI T, et al. Enhanced magnetic resonance imaging in the diagnosis of prostate transitionzone cancer [J]. Acta Radiologica, 2008, 49 (10): 1207-1213.
[13] KIM W, PARK M S, LEE S, et al. Characteristic brain magnetic resonance imaging abnormalities in central nervous system aquaporin4 autoimmunity [J]. Multiple Sclerosis, 2010, 16 (10): 1229-1236.
[14] 赵鹏飞, 钱沄涛, 郑文斌, 等.基于图像与文本特征的在线生物文献MRI图像库构建 [J]. 中国生物医学工程学报,2010, 29(5):697-703.
ZHAO Pengfei, QIAN Yuntao, ZHENG Wenbin, et al. MRI database construction using image and text features extracted from online biological literature [J]. Chinese Journal of Biomedical Engineering, 2010, 29(5):697-703.
[15] COHEN W W, WANG R, MURPHY R F. Understanding captions in biomedical publications [C]∥Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, DC: ACM, 2003: 499-504.
[16] 赵鹏飞, 钱沄涛, 郑文斌. 基于在线生物学文献的MRI图像获取 [J]. 中国体视学与图像分析, 2009, 14(2): 216-221.
ZHAO Pengfei, QIAN Yuntao, ZHENG Wenbin. MRI image extraction from online biological literature [J]. Chinese Journal of Stereology and Image Analysis, 2009, 14(2): 216-221.
[17] 赵鹏飞, 钱沄涛, 郑文斌. 在线文献的嵌图序号检测与识别\
[C\]∥ 第8届全国信号与信息处理联合学术会议. 北京: 中国体视学学会, 2009: 151-155.
ZHAO Pengfei, QIAN Yuntao, ZHENG Wenbin. Panel index detection and recognition from online biological literature [C]∥ Signal and Information Processing Joint National Conference. Beijing: Chinese Society for Stereology, 2009: 151-155.
[18] BENSAMOUN S F, GLASER K J, RINGLEB S I, et al. Rapid magnetic resonance elastography of muscle using onedimensional projection [J]. Journal of Magnetic Resonance Imaging, 2008, 27(5): 1083-1088.
[19] YANG Y M, PEDERSEN J O. A comparative study on feature selection in text categorization [C]∥Fisher D H, eds. Proceedings of the 14th International Conference on Machine Learning. Nashville: Computer Science Bibliography, 1997: 412-420.
[20] SALTON G, BUCKLEY C. Termweighting in automatic text retrieval [J]. Information Processing and Management, 1988, 24 (5): 513-523.
[21] CORTES C, VAPNIK V. Support vector networks [J]. Machine Learning, 1995, 20(3): 273-297.
[22] HELMS G, DECHENT P. Increased SNR and reduced distortions by averaging multiple gradient echo signals in 3D flash imaging of the human brain at 3T [J]. Journal of Magnetic Resonance Imaging, 2009, 29(5): 198-204.
[23] STEIN D, NEUFELD A, PASTERNAK O, et al. Diffusion tensor imaging of the median nerve in healthy and carpal tunnel syndrome subjects [J]. Journal of Magnetic Resource Imaging, 2009, 29(3): 657-662.

[1] 宁志华,何乐年,胡志成. 一种高压高可靠性开关电源控制芯片[J]. J4, 2014, 48(3): 377-383.
[2] 李林,陈家旺,顾临怡,王峰. 轴向柱塞泵/马达变量阀配流机构[J]. J4, 2014, 48(1): 29-34.
[3] 陈钊,余锋,陈婷婷. 基于日志结构的闪存均衡回收策略[J]. J4, 2014, 48(1): 92-99.
[4] 蒋湛,姚晓明,林兰芬. 基于特征自适应的本体映射方法[J]. J4, 2014, 48(1): 76-84.
[5] 陈迪仕 ,张宇,李平. 微小型无人直升机地面效应建模[J]. J4, 2014, 48(1): 154-160.
[6] 霍新新,褚金奎,韩冰峰,姚斐.  基于多个压电换能器的接口电路[J]. J4, 2013, 47(11): 2038-2045.
[7] 杨鑫,许端清,杨冰. 基于不规则性的并行计算方法[J]. J4, 2013, 47(11): 2057-2064.
[8] 王玉强,张宽地,陈晓东. 胶黏钢-混凝土组合梁的界面行为数值分析[J]. J4, 2013, 47(9): 1593-1598.
[9] 彭勇,徐小剑. 集料分布对沥青混合料劈裂强度影响数值分析[J]. J4, 2013, 47(7): 1186-1191.
[10] 崔何亮, 张丹, 施斌.  布里渊分布式传感的空间分辨率及标定方法[J]. J4, 2013, 47(7): 1232-1237.
[11] 伍晓榕,裘乐淼,张树有,孙良峰,郭传龙. 模糊语境下的复杂系统关联FMEA方法[J]. J4, 2013, 47(5): 782-789.
[12] 金波,陈诚,李伟. 具有半球形足端的六足机器人步态修正算法[J]. J4, 2013, 47(5): 768-774.
[13] 钟世英, 吴晓君, 蔡武军, 凌道盛, 蒋祝金, 王顺玉. 月面软着陆足垫水平拖曳模型试验装置研制[J]. J4, 2013, 47(3): 465-471.
[14] 袁幸,朱永生,张优云,洪军,祁文昌. 基于正反问题的滚动轴承损伤程度评估[J]. J4, 2012, 46(11): 1960-1967.
[15] 杨飞,朱株,龚小谨,刘济林. 基于三维激光雷达的动态障碍实时检测与跟踪[J]. J4, 2012, 46(9): 1565-1571.