Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation

Author:

Häme Yrjö,Pollari Mika

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference26 articles.

1. Understanding and optimizing use of contrast material for CT of the liver;Baron;American Journal of Roentgenology,1994

2. Deng, X., Du, G., 2008. In: MICCAI Workshop Proceedings of 3D Segmentation in the Clinic: A Grand Challenge II – Liver Tumor Segmentation.

3. The Physics of Diagnostic Imaging;Dowsett,1998

4. Combining shape priors and MRF-segmentation;Flach;Structural, Syntactic, and Statistical Pattern Recognition,2008

5. A bayesian approach for liver analysis: algorithm and validation study;Freiman;Medical Image Computing and Computer-Assisted Intervention – MICCAI,2008

Cited by 58 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