位置：成果数据库 > 会议 > 会议详情页
<span style="font-family:'Palatino Linotype','serif';font-size:9pt;"
  • 所属机构名称：同济大学
  • 会议名称：The 9th International Conference on Rough Sets and Knowledge (RSKT 2014)
  • 时间：2014.10.24
  • 成果类型：会议
  • 相关项目：基于领域知识的肝脏CT图割模型研究
作者： Wei Li|Yufei Chen|Zhicheng Wang|Weidong Zhao|Lin Chen|
同会议论文项目
基于领域知识的肝脏CT图割模型研究
期刊论文 11 会议论文 11
同项目会议论文
Liver Vessel Tree Generation Based on Skeletonization and Graph Representation
<span style="font-family:'Palatino Linotype','serif';font-size:9pt;"
Liver segmentation in CT images for intervention using a graph-cut based model
Salient region detection based on color-complexity and colorspatial features
Robust Point Matching using Mixture of Asymmetric Gaussians for Nonrigid Transformation
<span style="font-family:'Palatino Linotype','serif';font-size:9pt;"
A Thinning-based Liver Vessel Skeletonization Method
Roughness Approach to Color Image Segmentation through Smoothing Local Difference
Scale Selection in Roughness Based Color Quantization
Grassmannian manifolds discriminant analysis based on low-rank representation for image set matching