Supervised segmentation of visible human data with image analogies

被引：0

作者：

Lackey, JB ^{[1
]}

Colagrosso, MD ^{[1
]}

机构：

[1] Colorado Sch Mines, Dept Math & Comp Sci, Golden, CO 80401 USA

来源：

IC-AI '04 & MLMTA'04 , VOL 1 AND 2, PROCEEDINGS | 2004年

关键词：

image analogies; image segmentation; visible human;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a new application of the Image Analogies algorithm to be used for image segmentation. Our approach requires supervised training data, so we apply it to the domain of labeling human anatomical data. In the Visible Human Project, expert anatomists are overwhelmed with high-resolution images to analyze. We propose that the anatomist can work in conjunction with our approach, letting the machine segment 80% of the images, and requiring that the expert segment only every fifth image.

引用

页码：843 / 847

页数：5