Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging

Published:2013-02-28 Issue:3 Volume:40 Page:032305
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Agner Shannon C.¹,Xu Jun²,Madabhushi Anant³

Affiliation:

1. Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854

2. School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, China

3. Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio 44106

Funder

National Institutes of Health

National Science Foundation

New Jersey Commission on Cancer Research

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1118/1.4790466

Reference48 articles.

1. Development, standardization, and testing of a lexicon for reporting contrast-enhanced breast magnetic resonance imaging studies

2. Diagnostic Architectural and Dynamic Features at Breast MR Imaging: Multicenter Study

3. Dynamic High-Spatial-Resolution MR Imaging of Suspicious Breast Lesions

4. Neural network approach to the segmentation and classification of dynamic magnetic resonance images of the breast: Comparison with empiric and quantitative kinetic parameters1

5. Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning

Cited by 22 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

1. Automated 3D Tumor Segmentation From Breast DCE-MRI Using Energy-Tuned Minimax Optimization;IEEE Access;2024

2. Joint Dense Residual and Recurrent Attention Network for DCE-MRI Breast Tumor Segmentation;Computational Intelligence and Neuroscience;2022-04-20

3. Improving Parotid Gland Tumor Segmentation and Classification Using Geometric Active Contour Model and Deep Neural Network Framework;Traitement du Signal;2021-08-31

4. Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features;European Radiology Experimental;2019-04-27

5. Levels Propagation Approach to Image Segmentation: Application to Breast MR Images;Journal of Digital Imaging;2019-01-31

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