Unleashing the Power of Artificial Intelligence and Fusion Magnetic Resonance Imaging–Targeted Biopsy: Transforming Prostate Cancer Diagnosis
Author:
Publisher
Elsevier BV
Subject
Urology,Radiology, Nuclear Medicine and imaging,Oncology,Surgery
Reference8 articles.
1. A new era: artificial intelligence and machine learning in prostate cancer;Goldenberg;Nat Rev Urol,2019
2. A multicentre randomised controlled trial assessing whether MRI-targeted biopsy is non-inferior to standard transrectal ultrasound guided biopsy for the diagnosis of clinically significant prostate cancer in men without prior biopsy: a study protocol;Kasivisvanathan;BMJ Open,2017
3. Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study;Rouviere;Lancet Oncol,2019
4. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer—2020 update. Part 1: screening, diagnosis, and local treatment with curative intent;Mottet;Eur Urol,2021
5. Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology;Montagne;Insights Imaging,2021
Cited by 5 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. Targeted Prostate Biopsy: How, When, and Why? A Systematic Review;Diagnostics;2024-08-26
2. Learning curve for fusion magnetic resonance imaging targeted prostate biopsy and three‐dimensional transrectal ultrasonography segmentation;BJU International;2024-01-31
3. Ensemble Model for Prostate Cancer Detection Using MRI Images;2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18
4. Quantitative ADC: An Additional Tool in the Evaluation of Prostate Cancer?;Journal of Personalized Medicine;2023-09-15
5. Impact of Relative Volume Difference Between Magnetic Resonance Imaging and Three-dimensional Transrectal Ultrasound Segmentation on Clinically Significant Prostate Cancer Detection in Fusion Magnetic Resonance Imaging–targeted Biopsy;European Urology Oncology;2023-08
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