View in EDS HTML Full Text PDF Full Text

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.

Saved in:
Bibliographic Details
Title: Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
Authors: Ji Y; Department of Breast Imaging, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.; Key Laboratory of Cancer Prevention and Therapy; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, 30060, China.; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA., Li H; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA., Edwards AV; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA., Papaioannou J; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA., Ma W; Department of Breast Imaging, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.; Key Laboratory of Cancer Prevention and Therapy; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, 30060, China., Liu P; Department of Breast Imaging, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.; Key Laboratory of Cancer Prevention and Therapy; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, 30060, China., Giger ML; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA. m-giger@uchicago.edu.
Source: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2019 Sep 18; Vol. 19 (1), pp. 64. Date of Electronic Publication: 2019 Sep 18.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 31533838
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ji+Y%22">Ji Y</searchLink>; Department of Breast Imaging, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.; Key Laboratory of Cancer Prevention and Therapy; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, 30060, China.; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA.<br /><searchLink fieldCode="AU" term="%22Edwards+AV%22">Edwards AV</searchLink>; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA.<br /><searchLink fieldCode="AU" term="%22Papaioannou+J%22">Papaioannou J</searchLink>; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA.<br /><searchLink fieldCode="AU" term="%22Ma+W%22">Ma W</searchLink>; Department of Breast Imaging, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.; Key Laboratory of Cancer Prevention and Therapy; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, 30060, China.<br /><searchLink fieldCode="AU" term="%22Liu+P%22">Liu P</searchLink>; Department of Breast Imaging, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.; Key Laboratory of Cancer Prevention and Therapy; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University, Tianjin, 30060, China.<br /><searchLink fieldCode="AU" term="%22Giger+ML%22">Giger ML</searchLink>; Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL, 60637, USA. m-giger@uchicago.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101172931%22">Cancer imaging : the official publication of the International Cancer Imaging Society</searchLink> [Cancer Imaging] 2019 Sep 18; Vol. 19 (1), pp. 64. <i>Date of Electronic Publication: </i>2019 Sep 18.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Validation Study
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101172931 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1470-7330 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214707330%22">14707330 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Imaging <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31533838
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s40644-019-0252-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 64
    Titles:
      – TitleFull: Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ji Y
      – PersonEntity:
          Name:
            NameFull: Li H
      – PersonEntity:
          Name:
            NameFull: Edwards AV
      – PersonEntity:
          Name:
            NameFull: Papaioannou J
      – PersonEntity:
          Name:
            NameFull: Ma W
      – PersonEntity:
          Name:
            NameFull: Liu P
      – PersonEntity:
          Name:
            NameFull: Giger ML
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 18
              M: 09
              Text: 2019 Sep 18
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-electronic
              Value: 1470-7330
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Cancer imaging : the official publication of the International Cancer Imaging Society
              Type: main
ResultId 1