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中文摘要：
随着蛋白质质谱技术以及智能算法的发展，使用智能算法分析临床质谱数据已在肿瘤早期诊断方面显示了良好的应用前景．通过研究MATLABBuilderJAToolbox和分析蛋白质质谱数据的智能算法，结合临床蛋白质质谱数据分析的需求，使用JavaEE技术，设计和实现了基于质谱数据的肿瘤诊断web平台．平台功能主要包括质谱数据可视化显示、智能检索和智能决策诊断三大功能．同时还提供病人基本信息及肿瘤数据管理，质谱生物特征位点设置及分析结果数据存储等附加功能．
英文摘要：
With the development of proteomics mass spectrometry and intelligent algorithm, using intelligent algorithm to analysis clinical mass spectrum data had showed a good application prospect in the tumor early diagnosis. Based on the study of MATLAB Builder JA Toolbox and intelligent algorithms which are used to analyze protein mass spectrum data, and combing with JavaEE technology, we design and achieve a tumor diagnosis web platform based on protein mass spectrum. The platform mainly achieves three big functions which are mass spectrum data visualization display, intelligent matching and intelligent diagnosis algorithm. While still providing patients＇ basic information and tumor data management, mass spectrometry biological characteristics site settings and the analysis results data storage such as additional functions.
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Improving the performance of computer-aided detection of subtle breast masses using an adaptive cuei
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