期刊
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 56, 期 3, 页码 781-789出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2009.2012423
关键词
Active contour models; brain tumor; segmentation; snakes; vector flow
资金
- Alberta Heritage Foundation for Medical Research (AHFMR)
- Informatics Circle of Research Excellence (iCORE)
- Natural Sciences and Engineering Research Council (NSERC)
In this paper, we propose a new approach that we call the fluid vector flow (FVF) active contour model to address problems of insufficient capture range and poor convergence for concavities. With the ability to capture a large range and extract concave shapes, FVF demonstrates improvements over techniques like gradient vector flow, boundary vector flow, and magnetostatic active contour on three sets of experiments: synthetic images, pediatric head MRI images, and brain tumor MRI images from the Internet brain segmentation repository.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据