Diagnostic Performance of a Computer-Aided Image Analysis System For Breast Ultrasound
Author:
Publisher
Springer Netherlands
Link
http://link.springer.com/content/pdf/10.1007/1-4020-5721-0_36
Reference8 articles.
1. A.T. Stavros, D. Thickman, C.L. Rapp, M.A. Dennis, S.H. Parker, G.A. Sisney, “Solid Breast Nodules: Use of Sonography to Distinguish between Benign and Malignant Lesions,” Radiology 196, pp. 123–134, 1995
2. American College of Radiology: ACR Standards 2000–2001. Reston, VA: American College of Radiology, 2000
3. T.M. Kolb, J. Lichy, J.H. Newhouse, “Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: An analysis of 27, 825 patient evaluations”, Radiology 225:165–175, 2002
4. A.S. Hong, E.L. Rosen, M.S. Soo, J.A. Baker, “BI-RADS of sonography: Positive and negative predictive values of sonographic features,” AJR 184:1260, 2005
5. M.P. André, M. Galperin, L.K. Olson, et al.: “Improving the accuracy of diagnostic breast ultrasound,” Acoustical Imaging 26:453–460, 2002
Cited by 7 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. Fully Automated Interpretable Breast Ultrasound Assisted Diagnosis System;2023 International Conference on Advanced Robotics and Mechatronics (ICARM);2023-07-08
2. Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN;Ultrasonic Imaging;2019-10-16
3. Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis;Ultrasonography;2017-04-01
4. Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods;Ultrasound in Medicine & Biology;2016-04
5. Performance of a Method to Standardize Breast Ultrasound Interpretation Using Image Processing and Case-Based Reasoning;Acoustical Imaging;2011
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