已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Erratum for: Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning

医学 乳腺癌 淋巴结转移 转移 内科学 癌症 核医学
作者
Lin-Xia Zhou,Xiao Qing Wu,Shuyan Huang,Ge-Ge Wu,Hua-Rong Ye,Qi Wei,Ling-Yun Bao,Yansha Deng,Xingrui Li,Xin-Wu Cui,Christoph F. Dietrich
出处
期刊:Radiology [Radiological Society of North America]
卷期号:310 (3)
标识
DOI:10.1148/radiol.249009
摘要

HomeRadiologyVol. 310, No. 3 PreviousNext CommunicationsFree AccessErratumErratum for: Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep LearningLi-Qiang Zhou, Xing-Long Wu, Shu-Yan Huang, Ge-Ge Wu, Hua-Rong Ye, Qi Wei, Ling-Yun Bao, You-Bin Deng, Xing-Rui Li, Xin-Wu Cui, Christoph F. DietrichLi-Qiang Zhou, Xing-Long Wu, Shu-Yan Huang, Ge-Ge Wu, Hua-Rong Ye, Qi Wei, Ling-Yun Bao, You-Bin Deng, Xing-Rui Li, Xin-Wu Cui, Christoph F. DietrichLi-Qiang ZhouXing-Long WuShu-Yan HuangGe-Ge WuHua-Rong YeQi WeiLing-Yun BaoYou-Bin DengXing-Rui LiXin-Wu CuiChristoph F. DietrichPublished Online:Mar 26 2024https://doi.org/10.1148/radiol.249009is erratum ofMoreSectionsPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In Originally published in:https://doi.org/10.1148/radiol.2019190372Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep LearningLi-Qiang Zhou, Xing-Long Wu, Shu-Yan Huang, Ge-Ge Wu, Hua-Rong Ye, Qi Wei, Ling-Yun Bao, You-Bin Deng, Xing-Rui Li, Xin-Wu Cui, Christoph F. DietrichErratum in:https://doi.org/10.1148/radiol.249009In the Materials and Methods: Clinical Interpretation of US Images section, the board-certified radiologists who performed independent interpretations of the US images from test sets A and B were changed from (Y.B.D., L.Y.B., and S.Y.H., with 26, 14, and 6 years of experience, respectively) to (including L.Y.B. and S.Y.H., with 14 and 6 years of experience, respectively).Article HistoryPublished online: Mar 26 2024 FiguresReferencesRelatedDetailsAccompanying This ArticleLymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep LearningNov 19 2019RadiologyRecommended Articles Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep LearningRadiology2019Volume: 294Issue: 1pp. 19-28Using Deep Learning to Predict Axillary Lymph Node Metastasis from US Images of Breast CancerRadiology2019Volume: 294Issue: 1pp. 29-30Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 WomenRadiology2021Volume: 301Issue: 3pp. 550-558Preoperative Axillary US in Early-Stage Breast Cancer: Potential to Prevent Unnecessary Axillary Lymph Node DissectionRadiology2018Volume: 288Issue: 1pp. 55-63Ongoing Demand for Radiologists in Preoperative Axillary Lymph Node AssessmentRadiology2021Volume: 300Issue: 1pp. 55-56See More RSNA Education Exhibits Axillary Lymph Node Imaging In Breast CancerDigital Posters2021To Be or Not to Be a Breast Cancer Lymphadenopathy?: Diagnostic Challenges in Axillary Masses Digital Posters2020Artificial Intelligence in Breast Imaging: Past, Present, and FutureDigital Posters2020 RSNA Case Collection Internal mammary lymph node metastasesRSNA Case Collection2020Locally Advanced Invasive Lobular CarcinomaRSNA Case Collection2022Male Breast CancerRSNA Case Collection2021 Vol. 310, No. 3 Metrics Altmetric Score PDF download
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
duts完成签到 ,获得积分10
1秒前
3秒前
懒大王完成签到 ,获得积分10
4秒前
阿甘发布了新的文献求助10
6秒前
傲慢葫芦发布了新的文献求助10
7秒前
lbw完成签到 ,获得积分10
9秒前
小李完成签到 ,获得积分10
10秒前
沿途东行完成签到 ,获得积分10
10秒前
彭于晏应助傲慢葫芦采纳,获得10
10秒前
纯情的寻绿完成签到 ,获得积分10
12秒前
大学生完成签到 ,获得积分10
13秒前
13秒前
冷酷新柔完成签到,获得积分10
14秒前
16秒前
Lucas应助一个正经人采纳,获得10
16秒前
小李关注了科研通微信公众号
16秒前
阿甘完成签到,获得积分10
17秒前
早起大王完成签到,获得积分10
17秒前
shentaii完成签到,获得积分10
19秒前
19秒前
19秒前
橘子屿布丁完成签到,获得积分10
20秒前
研友_VZG7GZ应助casting采纳,获得10
22秒前
22秒前
mr_beard完成签到 ,获得积分10
23秒前
风趣的梦露完成签到 ,获得积分10
23秒前
23秒前
HonestLiang完成签到,获得积分10
24秒前
GXY完成签到,获得积分10
25秒前
25秒前
27秒前
29秒前
情怀应助一个正经人采纳,获得10
31秒前
33秒前
ryanfeng完成签到,获得积分0
33秒前
科目三应助Wu采纳,获得10
34秒前
35秒前
37秒前
ly发布了新的文献求助10
38秒前
背后雨柏完成签到 ,获得积分10
38秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3782572
求助须知:如何正确求助?哪些是违规求助? 3327957
关于积分的说明 10234005
捐赠科研通 3042953
什么是DOI,文献DOI怎么找? 1670358
邀请新用户注册赠送积分活动 799680
科研通“疑难数据库(出版商)”最低求助积分说明 758919