发明名称 |
Efficient kernel density estimation of shape and intensity priors for level set segmentation |
摘要 |
Methods and systems for image segmentation are disclosed. A nonlinear statistical shape model of an image is integrated with a non-parametric intensity model to estimate characteristics of an image and create segmentations of an image based on Bayesian inference from characteristics of prior learned images based on the same models.
|
申请公布号 |
US7773806(B2) |
申请公布日期 |
2010.08.10 |
申请号 |
US20060397040 |
申请日期 |
2006.04.03 |
申请人 |
SIEMENS MEDICAL SOLUTIONS USA, INC. |
发明人 |
CREMERS DANIEL;ROUSSON MIKAEL |
分类号 |
G06K9/34;G06K9/62 |
主分类号 |
G06K9/34 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|