Radiomics MRI for lymph node status prediction in breast cancer patients: the state of art
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-021-03606-6.pdf
Reference36 articles.
1. Alvarez S, Añorbe E, Alcorta P et al (2006) Role of sonography in the diagnosis of axillary lymph node metastases in breast cancer: a systematic review. Am J Roentgenol 186(5):1342–1348
2. Antropova N, Huynh BQ, Giger ML (2017) A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets. Med Phys 44(10):5162–5171
3. Associazione Italiana di Oncologia Medica (AIOM) (2019) Istituto per la Ricerca sul Cancro. 2019. Linee guida: NEOPLASIE DELLA MAMMELLA. [online]. Available at: https://www.aiom.it/linee-guida-aiom-neoplasie-della-mammella-2019/. [Accessed 16 Aug 2020]
4. Balachandran VP, Gonen M, Smith JJ, DeMatteo RP (2015) Nomograms in oncology: more than meets the eye. Lancet Oncol 16(4):e173–e180
5. Baltzer PA, Dietzel M, Burmeister HP et al (2011) Application of MR mammography beyond local staging: is there a potential to accurately assess axillary lymph nodes? evaluation of an extended protocol in an initial prospective study. AJR Am J Roentgenol 196(5):W641–W647
Cited by 43 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. Contrast-enhanced CT radiomics combined with multiple machine learning algorithms for preoperative identification of lymph node metastasis in pancreatic ductal adenocarcinoma;Frontiers in Oncology;2024-09-13
2. Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor;Cancer Imaging;2024-09-13
3. Predicting axillary lymph node metastasis in breast cancer based on ultrasound radiofrequency time-series analysis;Acta Radiologica;2024-09-02
4. Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation;IEEE Transactions on Artificial Intelligence;2024-09
5. Comparison between Three Radiomics Models and Clinical Nomograms for Prediction of Lymph Node Involvement in PCa Patients Combining Clinical and Radiomic Features;Cancers;2024-07-31
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