肺癌数据库的改进及其集成工具的设计实现

针对肺癌计算机辅助诊断研究中使用的LIDC数据库缺乏统一的数据模型、不能提供数据的有效性检查以保证数据的一致性和完整性等问题，使用XML技术对数据模型进行改进。在此基础上提出数据库集成工具的设计方案，包括关键类及关键功能的实现思路。实践证明，该工具可以方便地完成结节的显示、检索以及对结节检测算法有效性的比较，提高研究人员的工作效率。

Improvement of Lung Cancer Database and Design and Implementation of Its Integrated Tool

According to the problems in the use of Lung Image Database Consortium(LIDC) database in lung cancer computer aided diagnosis research, such as the lack of unified data model and the mechanism of data validity to warrant the consistency and union of data, this paper proposes an improved data model with XML technology. The design scheme of an integrated tool including main classes and the realization of its key problems are explained and analyzed. Practice shows that the tool has the ability to visualize and retrieve lung nodule as well as to evaluate the nodule detection algorithms, and it can improve work efficiency of researchers.