Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
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| Title: | Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution. |
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| 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 |
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| ISSN: | 1470-7330 |
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| DOI: | 10.1186/s40644-019-0252-2 |
