Abstract: Some key technologies of platform are studied. Text processing technology is used to extract text features. Image processing technology is used to extract grey, texture and shape features. Text and image processing technology are combined to identify and quantify lesions characteristic in medical image. High-dimensional index is used to organize these features. Semantic Web is used to fuse all kinds of resource together. A prototype system provides users with a high accuracy and high efficiency of the resources retrieval platform to study and communicate with each other. Result shows that the performance of system is highly improved after using above technologies.

Key words: Medical Image Diagnosis Resource Platform(MIDP), semantic Web, text processing, image processing, high-dimensional index

摘要： 研究了医学影像诊断资源平台中的一些关键技术，利用文本处理技术提取文本特征和影像处理技术提取灰度、纹理和形状特征，应用文本和影像处理相结合的技术确定影像中病灶特征，使用索引技术将高维特征组织在一起，利用语义网建立资源的语义关联。原型系统提供了高效率和高准确率的资源检索平台，为医生提供了学习以及交流的平台。实验结果表明，系统的性能得到较大提升。

关键词: 医学影像诊断资源平台, 语义网, 文本处理, 影像处理, 高维索引

CLC Number: 

• TP393