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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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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
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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Zeng+R%22">Zeng R</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.<br /><searchLink fieldCode="AU" term="%22Samuelson+FW%22">Samuelson FW</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.<br /><searchLink fieldCode="AU" term="%22Sharma+D%22">Sharma D</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.<br /><searchLink fieldCode="AU" term="%22Badal+A%22">Badal A</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.<br /><searchLink fieldCode="AU" term="%22Christian+GG%22">Christian GG</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.<br /><searchLink fieldCode="AU" term="%22Glick+SJ%22">Glick SJ</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.<br /><searchLink fieldCode="AU" term="%22Myers+KJ%22">Myers KJ</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.<br /><searchLink fieldCode="AU" term="%22Badano+A%22">Badano A</searchLink>; Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland, United States.
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  Data: <searchLink fieldCode="JN" term="%22101643461%22">Journal of medical imaging (Bellingham, Wash.)</searchLink> [J Med Imaging (Bellingham)] 2020 Jul; Vol. 7 (4), pp. 042802. <i>Date of Electronic Publication: </i>2020 Feb 26.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Society+of+Photo-Optical+Instrumentation+Engineers%22">Society of Photo-Optical Instrumentation Engineers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101643461 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2329-4302 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223294302%22">23294302 </searchLink><i>NLM ISO Abbreviation: </i>J Med Imaging (Bellingham) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1117/1.JMI.7.4.042802
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      – Code: eng
        Text: English
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        StartPage: 042802
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      – TitleFull: 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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              M: 07
              Text: 2020 Jul
              Type: published
              Y: 2020
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