文件名称:SSC_Matlab
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-03-03
- 文件大小：
- 2.07mb
- 下载次数：
- 0次
- 提 供 者：
- li***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SSC_Matlab
..........\data
..........\....\set1
..........\....\....\1.off
..........\....\....\2.off
..........\....\....\3.off
..........\....\....\4.off
..........\....\....\5.off
..........\....\....\6.off
..........\....\....\7.off
..........\....\....\8.off
..........\....\....\9.off
..........\....\set2
..........\....\....\1.off
..........\....\....\2.off
..........\....\....\3.off
..........\....\....\4.off
..........\....\....\5.off
..........\....\....\6.off
..........\....\....\7.off
..........\....\....\8.off
..........\....\....\9.off
..........\....\set3
..........\....\....\1.off
..........\....\....\2.off
..........\....\....\3.off
..........\....\....\4.off
..........\....\....\5.off
..........\....\....\6.off
..........\....\....\7.off
..........\....\....\8.off
..........\....\....\9.off
..........\....\set4
..........\....\....\1.off
..........\....\....\2.off
..........\....\....\3.off
..........\....\....\4.off
..........\....\....\5.off
..........\....\....\6.off
..........\....\....\7.off
..........\....\....\8.off
..........\....\....\9.off
..........\....\set5
..........\....\....\1.off
..........\....\....\2.off
..........\....\....\3.off
..........\....\....\4.off
..........\....\....\5.off
..........\....\....\6.off
..........\....\....\7.off
..........\....\....\8.off
..........\....\....\9.off
..........\fileoperation
..........\.............\GetRepository.m
..........\.............\readoff.m
..........\.............\saveoff.m
..........\L1Solvers
..........\.........\SolveHomotopy.m
..........\.........\toolbox_optim
..........\.........\.............\.dropbox
..........\.........\.............\compute_dual_prox.m
..........\.........\.............\Icon
..........\.........\.............\perform_admm.m
..........\.........\.............\perform_dr.m
..........\.........\.............\perform_fb.m
..........\.........\.............\perform_fb_strongly.m
..........\.........\.............\readme
..........\.........\.............\tests
..........\.........\.............\.....\html
..........\.........\.............\.....\....\test_l1_constraint.html
..........\.........\.............\.....\....\test_l1_constraint.png
..........\.........\.............\.....\....\test_l1_constraint_01.png
..........\.........\.............\.....\....\test_l1_constraint_02.png
..........\.........\.............\.....\....\test_l1_lagrangian.html
..........\.........\.............\.....\....\test_l1_lagrangian.png
..........\.........\.............\.....\....\test_l1_lagrangian_01.png
..........\.........\.............\.....\....\test_tv_constraint.html
..........\.........\.............\.....\....\test_tv_constraint.png
..........\.........\.............\.....\....\test_tv_constraint_01.png
..........\.........\.............\.....\....\test_tv_lagrangian.html
..........\.........\.............\.....\....\test_tv_lagrangian.png
..........\.........\.............\.....\....\test_tv_lagrangian_01.png
..........\.........\.............\.....\....\test_tv_lagrangian_02.png
..........\.........\.............\.....\....\test_tv_lagrangian_03.png
..........\.........\.............\.....\old
..........\.........\.............\.....\...\test_fbstrongly_analysis.m
..........\.........\.............\.....\publish_all.m
..........\.........\.............\.....\test_l1_constraint.m
..........\.........\.............\.....\test_l1_lagrangian.m
..........\.........\.............\.....\test_l1_lagrangian_shape.m
..........\.........\.............\.....\test_l1_lagrangian_wgt.m
..........\.........\.............\.....\test_tv_constraint.m
..........\.........\.............\.....\test_tv_lagrangian.m
..........\.........\.............\toolbox
..........\.........\.............\.......\.DS_Store
..........\.........\.............\.......\clamp.m
..........\.........\.............\.......\compute_correlation_error.m
..........\.........\.............\.......\compute_gaussian_filter.m
..........\.........\.............\.......\compute_operator_norm.m
..........\.........\.............\.......\crop.m