搜索资源列表
FCMMRI
- 用KFCMC和FMC两种聚类算法实现MRI图像的分割.可直接运行,里面还有一篇论文可供参考。-Using KFCMC and FMC algorithm to segment MRI image including tested MRI images and one article.
MRIxiaonaonaogan
- 从脑部MRI图像中提取小脑和脑干,分别采用k均值聚类算法,阈值分割,形态学操作,分水岭算法,区域合并-Brainstem and cerebellum extracts the brain MRI images were used to k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.
MRIzuoyounaobanqiu
- 从脑部MRI图像中提取左右脑半球,分别采用k均值聚类算法,阈值分割,形态学操作,分水岭算法,区域合并-Extracted the brain MRI image left and right brain hemispheres, respectively k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.
第一部分算法程序改后
- 聚类分割实现的MRI图像分割,效果还算可以,硕士算法是在这个基础上改进的。(The MRI image segmentation achieved by clustering segmentation is acceptable. The master algorithm is improved on this basis.)
GABP
- 聚类实现的另外一种算法,效果OK,可以参考使用,脑部分组织分割不错。(Another algorithm implemented by clustering is OK, which can be used for reference. Partial segmentation of brain tissue is good.)
MRI_Brain_Scan
- 使用SVM和聚类分割的方式实现MRI图像中的脑瘤分割(Brain Tumor Segmentation in MRI Images Using SVM and Cluster Segmentation)