1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System
Authors:
- 28 May 2018
- journal article
- research article
- Published by Elsevier in Ultrasound in Medicine & Biology
- Vol. 44 (8) , 1694-1702
Abstract
No abstract availableKeywords
Funding Information
- Science and Technology Program of Hangzhou (20170533 B29)
This publication has 21 references indexed in Scilit:
- Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive CancersAmerican Journal of Roentgenology, 2016
- Assessing Improvement in Detection of Breast Cancer with Three-dimensional Automated Breast US in Women with Dense Breast Tissue: The SomoInsight StudyRadiology, 2015
- A novel breast ultrasound system for providing coronal images: System development and feasibility studyUltrasonics, 2015
- Computed-aided diagnosis (CAD) in the detection of breast cancerEuropean Journal of Radiology, 2013
- Screening US in Patients with Mammographically Dense Breasts: Initial Experience with Connecticut Public Act 09-41Radiology, 2012
- Training the ACRIN 6666 Investigators and Effects of Feedback on Breast Ultrasound Interpretive Performance and Agreement in BI-RADS Ultrasound Feature AnalysisAmerican Journal of Roentgenology, 2012
- Mammographic density and breast cancer risk: current understanding and future prospectsBreast Cancer Research, 2011
- Effect of population-based screening on breast cancer mortalityThe Lancet, 2011
- Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breastsEuropean Radiology, 2009
- Observer studies involving detection and localization: Modeling, analysis, and validationMedical Physics, 2004