Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum‐likelihood polynomial fitting approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum‐likelihood polynomial fitting approach

Published:2019-06-23 Issue:8 Volume:46 Page:3414-3430
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Ghazi Peymon¹,Hernandez Andrew M.²,Abbey Craig³,Yang Kai⁴,Boone John M.²

Affiliation:

1. Malcova LLC Baltimore MD 21211 USA

2. Department of Radiology University of California Davis Sacramento CA 95817 USA

3. Department of Psychological & Brain Sciences University of California Santa Barbara Santa Barbara CA 93106 USA

4. Department of Radiology Massachusetts General Hospital Boston MA 2114 USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13599

Reference72 articles.

1. Evolution of spatial resolution in breast CT at UC Davis

2. Cone-Beam CT for Breast Imaging: Radiation Dose, Breast Coverage, and Image Quality

3. High-resolution spiral CT of the breast at very low dose: concept and feasibility considerations

4. Three dimensional dose distribution comparison of simple and complex acquisition trajectories in dedicated breast CT

5. A general framework and review of scatter correction methods in x-ray cone-beam computerized tomography. Part 1: Scatter compensation approaches

Cited by 16 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. Pre‐whitened matched filter and convolutional neural network based model observer performance for mass lesion detection in non‐contrast breast CT;Medical Physics;2023-08-30

2. Model observer performance in contrast‐enhanced lesions in breast CT: The influence of contrast concentration on detectability;Medical Physics;2023-08-28

3. Deep-learning-based denoising of X-ray differential phase and dark-field images;European Journal of Radiology;2023-06

4. Narrow beam breast CT: proof‐of‐concept;Medical Physics;2023-03-04

5. Hyperia: A novel methodology of developing anthropomorphic breast phantoms for X‐ray imaging modalities – Part I: Concept and initial findings;Medical Physics;2022-11-03

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