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Computational reader design and statistical performance evaluation of an in-silico imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammography.

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Bibliographic Details
Title: Computational reader design and statistical performance evaluation of an in-silico imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammography.
Authors: Zeng R; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States., Samuelson FW; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States., Sharma D; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States., Badal A; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States., Christian GG; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States., Glick SJ; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States., Myers KJ; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States., Badano A; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.
Source: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2020 Jul; Vol. 7 (4), pp. 042802. Date of Electronic Publication: 2020 Feb 26.
Publication Type: Journal Article
Journal Info: Publisher: Society of Photo-Optical Instrumentation Engineers Country of Publication: United States NLM ID: 101643461 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2329-4302 (Print) Linking ISSN: 23294302 NLM ISO Abbreviation: J Med Imaging (Bellingham) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2329-4302
DOI:10.1117/1.JMI.7.4.042802