Overview of digital breast tomosynthesis: Clinical cases, benefits and disadvantages-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Overview of digital breast tomosynthesis: Clinical cases, benefits and disadvantages

Published:2015-09 Issue:9 Volume:96 Page:843-859
ISSN:2211-5684
Container-title:Diagnostic and Interventional Imaging
language:en
Short-container-title:Diagnostic and Interventional Imaging

Author:

Nguyen T.,Levy G.,Poncelet E.,Le Thanh T.,Prolongeau J.F.,Phalippou J.,Massoni F.,Laurent N.

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

Reference56 articles.

1. The management of breast cancer;Espié;Diagn Interv Imaging,2014

2. Swedish two-county trial: impact of mammographic screening on breast cancer mortality during 3 decades;Tabár;Radiology,2011

3. Organized breast screening: answers to recurring controversies;Ceugnart;Diagn Interv Imaging,2014

4. Dual-energy contrast-enhanced digital mammography: examination protocol;Barra;Diagn Interv Imaging,2014

5. Breast elastography: the technical process and its applications;Balleyguier;Diagn Interv Imaging,2013

Cited by 19 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. Effect of network architectures in multi-agent reinforcement learning for denoising digital tomosynthesis images;Journal of the Korean Physical Society;2024-02-20

2. Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review;BMC Bioinformatics;2023-10-26

3. Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis;Radiological Physics and Technology;2023-07-19

4. A denoising model based on multi-agent reinforcement learning with data transformation for digital tomosynthesis;Physics in Medicine & Biology;2023-06-12

5. Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images;Radiological Physics and Technology;2022-11-07

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