| 乳腺癌图像数据库索引研究 |
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| 引用本文： | 张骊峰,章鲁.乳腺癌图像数据库索引研究[J].上海交通大学学报(医学版),2008,28(5):548-551. |
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| 作者姓名： | 张骊峰 章鲁 |
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| 作者单位： | 上海交通大学基础医学院生物医学工程系 上海200025 |
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| 摘 要： | 目的采用改进的M树索引结构为乳腺癌图像数据库建立索引,提高乳腺癌图像数据库的检索效率。方法分析M树索引结构为乳腺癌图像数据库建立索引的可实现性和有效性,并采用Slim-down方法优化M树索引结构,降低M树索引结构的结点重叠率。结果采用改进的M树索引结构为乳腺癌图像数据建立索引比传统检索方法效率提高25倍。结论采用改进的M树索引结构能够显著提高乳腺癌图像数据库的检索效率。
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| 关 键 词： | 乳腺癌图像数据库 多维索引 度量空间 |
| 文章编号： | 0258-5898(2008)05-0548-04 |
| 修稿时间： | 2007年6月15日 |
Study of index for mammogram database |
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| ZHANG Li-feng,ZHANG Lu.Study of index for mammogram database[J].Journal of Shanghai Jiaotong University:Medical Science,2008,28(5):548-551. |
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| Authors: | ZHANG Li-feng ZHANG Lu |
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| Abstract: | Objective To accelerate retrieve of mammogram database by using improved M-tree index. Methods M-tree index was analyzed in the reliability and effectiveness for indexing mammogram database.An algorithm called "Slim-down" was employed in design to minimize possible overlaps. Results The improved M-tree index enhanced the efficiency of retrieving mammogram database 25 times than traditional way. Conclusion The efficiency of retrieving mammogram database by using improved M-tree was accelerated remarkably. |
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| Keywords: | mammogram database multi-dimension index metric space |
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