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基于WEB的纵隔疾病影像学诊断数据库框架的构建
引用本文:牛刚,郭佑民,强永乾,杨军乐,王秋萍,张秋娟. 基于WEB的纵隔疾病影像学诊断数据库框架的构建[J]. 中国医学影像技术, 2006, 22(4): 616-618
作者姓名:牛刚  郭佑民  强永乾  杨军乐  王秋萍  张秋娟
作者单位:1. 西安交通大学医学院第一附属医院影像中心,陕西,西安,710061
2. 西安交通大学医学院第二附属医院影像中心,陕西,西安,710004
基金项目:国家自然科学基金资助项目(30470509)。
摘    要:目的构建基于WEB的纵隔疾病影像诊断数据库,探讨医学影像诊断数据库构建的基本模式。方法和结果对137例经临床病理证实的18种纵隔疾病的影像学表现进行回顾性分析,结合中国期刊网和MEDLINE相关中外文文献219篇,利用MicrosoftWindowsXP(ProfessionalServicePack),MSSQLServer2000数据库,Photoshop7.0,Dreamweav-er2005实现了18种纵隔疾病的基于WEB的检索。结论基于WEB的数据库技术,可用来构建医学影像诊断知识库,因此在计算机辅助诊断、教学、科研等领域有着广阔的应用前景。

关 键 词:WEB  纵隔  数据库
文章编号:1003-3289(2006)04-0616-03
收稿时间:2005-08-16
修稿时间:2006-01-12

The construction of framework of database for imaging diagnosis of mediastinum disease based on WEB
NIU Gang,GUO You-min,QIANG Yong-qian,YANG Jun-le,WANG Qiu-ping and ZHANG Qiu-juan. The construction of framework of database for imaging diagnosis of mediastinum disease based on WEB[J]. Chinese Journal of Medical Imaging Technology, 2006, 22(4): 616-618
Authors:NIU Gang  GUO You-min  QIANG Yong-qian  YANG Jun-le  WANG Qiu-ping  ZHANG Qiu-juan
Affiliation:Imaging Center, the First Medical Hospital of Xi'an Jiaotong University, Xi'an 710061, China;Imaging Center, the Second Medical Hospital of Xi'an Jiaotong University, Xi'an 710004, China;Imaging Center, the First Medical Hospital of Xi'an Jiaotong University, Xi'an 710061, China;Imaging Center, the Second Medical Hospital of Xi'an Jiaotong University, Xi'an 710004, China;Imaging Center, the First Medical Hospital of Xi'an Jiaotong University, Xi'an 710061, China;Imaging Center, the Second Medical Hospital of Xi'an Jiaotong University, Xi'an 710004, China
Abstract:Objective To build up the elementary construction for the framework of database of imaging diagnosis of mediastinum diseases based on WEB and discuss the basic pattern for the framework of database of the medical imaging diagnosis construction. Methods and Results The imaging of 137 cases was retrospectively reviewed which concluded 18 kinds of mediastinum diseases and were confirmed clinically and pathologically. We also referred to 219 English and Chinese articles in CNKI and MEDLINE. The search for 18 kinds of mediastinum diseases based on WEB was achieved using Microsoft Windows XP (Professional Service Pack), MS SQL Server 2000 database, Photoshop 7.0, and Dreamweaver 2005. Conclusion The database technique based on WEB provides a useful method for constructing the medical imaging database. This result suggests its potential and wide application in computer aided diagnosis, medical teaching and scientific research.
Keywords:WEB  Mediastinum  Database
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