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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
Liqiang Zhou,Xinglong Wu,Shuyan Huang,Ge-Ge Wu,Hua-Rong Ye,Qi Wei,Lingyun Bao,Youbin Deng,Xingrui Li,Xin‐Wu Cui,Christoph F. Dietrich
出处
期刊:Radiology [Radiological Society of North America]
卷期号:310 (3): e249009-e249009 被引量: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
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