Assessment of glomerular morphological patterns by deep learning algorithms.
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| Title: | Assessment of glomerular morphological patterns by deep learning algorithms. |
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| Authors: | Weis CA; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany. cleo-aron.weis@medma.uni-heidelberg.de., Bindzus JN; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany., Voigt J; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany., Runz M; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.; Mannheim Institute for Intelligent Systems in Medicine, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany., Hertjens S; Institute of Medical Statistics and Biometry, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany., Gaida MM; Institute of Pathology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany., Popovic ZV; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany., Porubsky S; Institute of Pathology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany. stefan.porubsky@unimedizin-mainz.de. |
| Source: | Journal of nephrology [J Nephrol] 2022 Mar; Vol. 35 (2), pp. 417-427. Date of Electronic Publication: 2022 Jan 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Italy NLM ID: 9012268 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1724-6059 (Electronic) Linking ISSN: 11218428 NLM ISO Abbreviation: J Nephrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34982414 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessment of glomerular morphological patterns by deep learning algorithms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Weis+CA%22">Weis CA</searchLink>; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany. cleo-aron.weis@medma.uni-heidelberg.de.<br /><searchLink fieldCode="AU" term="%22Bindzus+JN%22">Bindzus JN</searchLink>; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.<br /><searchLink fieldCode="AU" term="%22Voigt+J%22">Voigt J</searchLink>; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.<br /><searchLink fieldCode="AU" term="%22Runz+M%22">Runz M</searchLink>; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.; Mannheim Institute for Intelligent Systems in Medicine, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany.<br /><searchLink fieldCode="AU" term="%22Hertjens+S%22">Hertjens S</searchLink>; Institute of Medical Statistics and Biometry, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.<br /><searchLink fieldCode="AU" term="%22Gaida+MM%22">Gaida MM</searchLink>; Institute of Pathology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.<br /><searchLink fieldCode="AU" term="%22Popovic+ZV%22">Popovic ZV</searchLink>; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, 68167, Mannheim, Germany.<br /><searchLink fieldCode="AU" term="%22Porubsky+S%22">Porubsky S</searchLink>; Institute of Pathology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany. stefan.porubsky@unimedizin-mainz.de. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229012268%22">Journal of nephrology</searchLink> [J Nephrol] 2022 Mar; Vol. 35 (2), pp. 417-427. <i>Date of Electronic Publication: </i>2022 Jan 04. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>9012268 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1724-6059 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2211218428%22">11218428 </searchLink><i>NLM ISO Abbreviation: </i>J Nephrol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34982414 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s40620-021-01221-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 417 Titles: – TitleFull: Assessment of glomerular morphological patterns by deep learning algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Weis CA – PersonEntity: Name: NameFull: Bindzus JN – PersonEntity: Name: NameFull: Voigt J – PersonEntity: Name: NameFull: Runz M – PersonEntity: Name: NameFull: Hertjens S – PersonEntity: Name: NameFull: Gaida MM – PersonEntity: Name: NameFull: Popovic ZV – PersonEntity: Name: NameFull: Porubsky S IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2022 Mar Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1724-6059 Numbering: – Type: volume Value: 35 – Type: issue Value: 2 Titles: – TitleFull: Journal of nephrology Type: main |
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