搜索资源列表
Improved-Random-Walker-algorithm
- 基于改进Grow Cut和统计模型的肝脏分割算法的研究与实现-Research and Implementation of liver segmentation algorithm based on improved Grow Cut and statistical models
GraphCut
- 基于CraphCut和FCM的肝脏CT图像分割程序，其中包括对读入图片的简单裁剪功能。-Based CraphCut and FCM liver CT image segmentation procedures, including support for reading simple picture cropping function.
liverdivided
- CT肝脏图像分割，需要对感兴趣区域截取预处理。输入图像为BMP格式图像，输出为二值轮廓图像-Liver CT image segmentation, the need for the region of interest interception pretreatment. Input image as BMP format images, the output is a binary image contours
snake-model
- 一种蛇形算法模型，主要是用于图像的边界分割，比如肝脏等-a snake algorithm model used to segment boundary
SSC_Matlab
- 基于稀疏形状组合构建形状模型，用于健康与不健康的肝脏分割。-construction shape model based on sparse shape composition used to liver segmentation
code_shape_prior
- 基于稀疏形状表示，构建形状先验模型，用于肝脏区域的分割-construction shape prior model based on sparse shape composition used to achieve liver segmentation
graph-cut
- 几篇关于graph cut的经典文献，想学习graph cut可以看看这几篇文献，其中也包括了基于graph cut的肝脏分割文献，有助于学习医学图像分割-Several classic literature on graph cut, if you want to learn a few graph cutthat can look at this documents, it also includs the liver based
itkCannySegmentation
- 基于VS2012平台的肝脏肿瘤分割，使用的是VTK以及itk，主要算法是canny-segmentation of liver with tumor based on itk and vtk by canny
152张未分割图10
- 152张灰度的肝脏切片图像（没有标记），格式为jpg(152 grayscale liver slices (no marked).)
肝脏区域生长
- 适用于简单区域生长肝脏分割的MATLAB核心代码(Simple Region Growth Liver Segmentation)
Liver-Tumors-master
- 首先，本代码针对肝脏CT图像序列的特点，提出了一个肝癌图像分割算法，对医学图像的分割、辅助医生进行肝脏切割手术、为医生进行诊断和治疗、肝脏的三维重建、确定病变区域的大小及程度等也有着重要意义。(Firstly, according to the characteristics of liver CT image sequence, this code proposes a liver cancer image segmentation
GA
- GENE算法的应用，分割相关的肝脏图。用遗传算法找到最优阈值，然后选择canny算子(the application of GENE algorithm in matlab)