.png){kind=icon}
返回
Live-wire-based segmentation using similarities between corresponding image structures
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compmedimag.2007.06.005.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A live-wire-based segmentation method that exploits similarities of corresponding object contours is presented. The method accelerates the segmentation process transferring anchor points of segmented reference contours to unsegmented target slices automatically. The target contours are created using the live-wire algorithm trained by features of the reference contours. An automatic contour correction improves the segmentation. Only few user interactions with an intuitive contour editor are necessary. The evaluation using intra- and interpatient transfer shows that 51-73% of interaction time can be saved compared to normal live-wire preserving the segmentation quality. (c) 2007 Elsevier Ltd. All rights reserved.
Keyword:
segmentation
live-wire
contour extraction
graph search algorithm
image similarity
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.9
论文数:
2.4K
被引数:
5.0K
机构
暂无机构信息
引用论文
Experimental Studies on the Impact of the Projected Ocean Acidification on Fish Survival, Health, Growth, and Meat Quality; Black Sea Bream (Acanthopagrus schlegelii), Physiological and Histological Studies.png)
Animals
OAAI
AnimalsIF0
OAAI分享收藏
分享收藏分享收藏
查看更多内容