基于模糊聚类的医学图像检索系统

Medical Image Retrieval System Based on Fuzzy Clustering

面对海量的医学图像集合,如何快速、准确地找到需要的图像,提取有用的病理信息,以帮助医生和教师更好地开展医疗和教学工作,已经成为近些年医学图像处理的研究热点。为此,引入FCM聚类算法对医学图像检索方法进行了优化,并使用ASP.NET开发技术实现了一个基于模糊聚类的医学图像检索系统,为辅助医疗做了一次有益的尝试。

In the face of a large number of medical image sets,how to quickly and accurately find the image needed,and extract useful pathological information to help doctors and teachers carry out better medical and teaching work,have become a research hot-spot of medical image processing in recent years.For this reason,FCM clustering algorithm is introduced to optimize the medical image retrieval method,and a medical image retrieval system based on fuzzy clustering is implemented by using ASP.NET development technology,which is a beneficial attempt for auxiliary medical treatment.