文件名称:meanshift聚类
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医学图像分割方法的研究较多,而对分割算法的评价方法的研究却很少的问题,提出了一种判断和比较医学图像分割算法优劣的评价方法。首先对现有的几种评价方法进行了综述,并总结出了一套评价系统。可靠性、精确性、区域统计特性和效率是评价一个分割方法的4个重要参数(There are many researches on medical image segmentation methods, but there are few researches on the evaluation methods of segmentation algorithms. This paper presents a method to judge and compare the advantages and disadvantages of medical image segmentation algorithms. Firstly, several existing evaluation methods are summarized, and a set of evaluation system is summed up. Reliability, accuracy, regional statistical characteristics and efficiency are 4 important parameters for evaluating a segmentation method.)
相关搜索: 分割
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
meanshift聚类\meanshift.m | 0 | 2018-10-15 |
meanshift聚类\meanshift.m\main.asv | 712 | 2018-10-09 |
meanshift聚类\meanshift.m\main.m | 706 | 2018-10-09 |
meanshift聚类\meanshift.m\mean_shift.m | 669 | 2018-10-09 |
meanshift聚类 | 0 | 2018-10-09 |
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