Computer-aided Detection of Prostate Cancer with MRI
Author:
Funder
NIH
National Natural Science Foundation of China
Georgia Research Alliance
Publisher
Elsevier BV
Subject
Radiology Nuclear Medicine and imaging
Reference200 articles.
1. Cancer statistics, 2015;Siegel;CA Cancer J Clin,2015
2. Biologic differences between peripheral and transition zone prostate cancer;Lee;Prostate,2015
3. Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer;Siddiqui;JAMA,2015
4. Prospective study of diagnostic accuracy comparing prostate cancer detection by transrectal ultrasound-guided biopsy versus magnetic resonance (MR) imaging with subsequent MR-guided biopsy in men without previous prostate biopsies;Pokorny;Eur Urol,2014
5. Magnetic resonance imaging-targeted biopsy may enhance the diagnostic accuracy of significant prostate cancer detection compared to standard transrectal ultrasound-guided biopsy: a systematic review and meta-analysis;Schoots;Eur Urol,2015
Cited by 47 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. Magnetic Resonance Imaging-based Prostate Cancer Detection and Classification using Machine Learning and Deep Learning Techniques: A Survey;2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI);2024-01-18
2. A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI;Frontiers in Oncology;2023-11-09
3. Effective Brain Stroke Prediction with Deep Learning Model by Incorporating YOLO_5 and SSD;International Journal of Online and Biomedical Engineering (iJOE);2023-10-11
4. Characterization of high-grade prostate cancer at multiparametric MRI using a radiomic-based computer-aided diagnosis system as standalone and second reader;Diagnostic and Interventional Imaging;2023-10
5. Transfer learning; powerful and fast segmentation and classification prostate cancer from MRI scans, in the development set;Journal of Intelligent & Fuzzy Systems;2023-08-01
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