Carotid Lumen Segmentation and Stenosis Grading Challenge

Author:

Hameeteman K.,Freiman M.,Zuluaga M. A.,Joskowicz L.,Rozie S.,Van Gils M. J.,Van den Borne L.,Sosna J.,Berman P.,Cohen N.,Douek P.,Sanchez I.,Aissat M.,Van der Lugt A.,Krestin G. P.,Niessen W. J.,Van Walsum T.

Abstract

This paper describes the Carotid Lumen Segmentation and Stenosis Grading Challenge, which was part of the workshop ``3D Segmentation in the Clinic: A Grand Challenge’’. This workshop was part of the 12th conference on Medical Image Computing and Computer Assisted Interventions, held in London in September 2009. We introduce the purpose and background of the challenge and describe the data, reference standard and evaluation measures that were used in this challenge. We also provide the results of the data that were submitted by industrial and academic research institutes.

Publisher

NumFOCUS - Insight Software Consortium (ITK)

Reference5 articles.

1. Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling

2. Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach

3. Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading

4. Segmentation and Quantification of Blood Vessels in 3D Images using a Right Generalized Cylinder State Model

5. 4+Pinzo´n, and M. Herna´ndez Hoyos. Adaptations of MARACAS algorithm to the segmentation of the carotid bifurcation and stenosis quantification in CTA images+The Midas Journal+2009+R.W.K. W.C.K. Wong+So+A.C.S. Chung+M.A. Zuluaga+M. Orkisz+E.J.F. Delgado Leyton+A. Morales

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3