A [-2]proPSA-based artificial neural network significantly improves differentiation between prostate cancer and benign prostatic diseases
Author:
Publisher
Wiley
Subject
Urology,Oncology
Reference43 articles.
1. PSA and other tissue kallikreins for prostate cancer detection;Stephan;Eur J Cancer,2007
2. Prostate specific antigen: A decade of discovery-what we have learned and where we are going;Polascik;J Urol,1999
3. Prostate-specific antigen in serum occurs predominantly in complex with alpha 1-antichymotrypsin;Lilja;Clin Chem,1991
4. A complex between prostate-specific antigen and alpha 1-antichymotrypsin is the major form of prostate-specific antigen in serum of patients with prostatic cancer: Assay of the complex improves clinical sensitivity for cancer;Stenman;Cancer Res,1991
5. New insights into the diagnostic accuracy of complexed and total prostate specific antigen using discordance analysis characteristics;Jung;J Urol,2006
Cited by 83 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. The use of an artificial neural network in the evaluation of the extracorporeal shockwave lithotripsy as a treatment of choice for urinary lithiasis;Asian Journal of Urology;2021-09
2. Tumour markers in prostate cancer: The post-prostate-specific antigen era;Annals of Clinical Biochemistry: International Journal of Laboratory Medicine;2021-08-31
3. Comparison of PHI and PHI Density for Prostate Cancer Detection in a Large Retrospective Caucasian Cohort;Urologia Internationalis;2021-08-25
4. The Percentage of [−2]Pro–Prostate-Specific Antigen and the Prostate Health Index Outperform Prostate-Specific Antigen and the Percentage of Free Prostate-Specific Antigen in the Detection of Clinically Significant Prostate Cancer and Can Be Used as Reflex Tests;Archives of Pathology & Laboratory Medicine;2021-08-03
5. A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology;BMC Medical Informatics and Decision Making;2021-07-22
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