Artificial Intelligence Applied to Breast MRI for Improved Diagnosis.
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| Title: | Artificial Intelligence Applied to Breast MRI for Improved Diagnosis. |
|---|---|
| Authors: | Jiang Y; From the Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637., Edwards AV; From the Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637., Newstead GM; From the Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637. |
| Source: | Radiology [Radiology] 2021 Jan; Vol. 298 (1), pp. 38-46. Date of Electronic Publication: 2020 Oct 20. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 0401260 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1527-1315 (Electronic) Linking ISSN: 00338419 NLM ISO Abbreviation: Radiology Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 33078996 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial Intelligence Applied to Breast MRI for Improved Diagnosis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jiang+Y%22">Jiang Y</searchLink>; From the Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637.<br /><searchLink fieldCode="AU" term="%22Edwards+AV%22">Edwards AV</searchLink>; From the Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637.<br /><searchLink fieldCode="AU" term="%22Newstead+GM%22">Newstead GM</searchLink>; From the Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220401260%22">Radiology</searchLink> [Radiology] 2021 Jan; Vol. 298 (1), pp. 38-46. <i>Date of Electronic Publication: </i>2020 Oct 20. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiological+Society+of+North+America%22">Radiological Society of North America </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401260 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-1315 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200338419%22">00338419 </searchLink><i>NLM ISO Abbreviation: </i>Radiology <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33078996 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1148/radiol.2020200292 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 38 Titles: – TitleFull: Artificial Intelligence Applied to Breast MRI for Improved Diagnosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiang Y – PersonEntity: Name: NameFull: Edwards AV – PersonEntity: Name: NameFull: Newstead GM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2021 Jan Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1527-1315 Numbering: – Type: volume Value: 298 – Type: issue Value: 1 Titles: – TitleFull: Radiology Type: main |
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