Towards Clinical Integration of Deep Learning-Based Classification of Urinary Sediment Particles from Digital Microscopy Images: A Prospective Study.
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| Title: | Towards Clinical Integration of Deep Learning-Based Classification of Urinary Sediment Particles from Digital Microscopy Images: A Prospective Study. |
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| Authors: | Mouslech SG; STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics-Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium., Wijnants S; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium., van der Schagt AL; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium., Van Hoovels L; Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.; Department of Laboratory Medicine, AZORG Hospital Aalst, Aalst, Belgium., Deley R; Department of Laboratory Medicine, AZORG Hospital Aalst, Aalst, Belgium., Oyaert M; Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium., Neirinck J; Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium., Billen J; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium., Frans G; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium.; Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium., De Vos M; STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics-Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium.; Department of Development and Regeneration, KU Leuven, Leuven, Belgium. |
| Source: | Clinical chemistry [Clin Chem] 2026 Apr 02; Vol. 72 (4), pp. 467-477. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9421549 Publication Model: Print Cited Medium: Internet ISSN: 1530-8561 (Electronic) Linking ISSN: 00099147 NLM ISO Abbreviation: Clin Chem Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41499256 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Towards Clinical Integration of Deep Learning-Based Classification of Urinary Sediment Particles from Digital Microscopy Images: A Prospective Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mouslech+SG%22">Mouslech SG</searchLink>; STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics-Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22Wijnants+S%22">Wijnants S</searchLink>; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22van+der+Schagt+AL%22">van der Schagt AL</searchLink>; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22Van+Hoovels+L%22">Van Hoovels L</searchLink>; Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.; Department of Laboratory Medicine, AZORG Hospital Aalst, Aalst, Belgium.<br /><searchLink fieldCode="AU" term="%22Deley+R%22">Deley R</searchLink>; Department of Laboratory Medicine, AZORG Hospital Aalst, Aalst, Belgium.<br /><searchLink fieldCode="AU" term="%22Oyaert+M%22">Oyaert M</searchLink>; Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium.<br /><searchLink fieldCode="AU" term="%22Neirinck+J%22">Neirinck J</searchLink>; Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium.<br /><searchLink fieldCode="AU" term="%22Billen+J%22">Billen J</searchLink>; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22Frans+G%22">Frans G</searchLink>; Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium.; Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22De+Vos+M%22">De Vos M</searchLink>; STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics-Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium.; Department of Development and Regeneration, KU Leuven, Leuven, Belgium. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229421549%22">Clinical chemistry</searchLink> [Clin Chem] 2026 Apr 02; Vol. 72 (4), pp. 467-477. – 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="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9421549 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1530-8561 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200099147%22">00099147 </searchLink><i>NLM ISO Abbreviation: </i>Clin Chem <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41499256 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/clinchem/hvaf182 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 467 Titles: – TitleFull: Towards Clinical Integration of Deep Learning-Based Classification of Urinary Sediment Particles from Digital Microscopy Images: A Prospective Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mouslech SG – PersonEntity: Name: NameFull: Wijnants S – PersonEntity: Name: NameFull: van der Schagt AL – PersonEntity: Name: NameFull: Van Hoovels L – PersonEntity: Name: NameFull: Deley R – PersonEntity: Name: NameFull: Oyaert M – PersonEntity: Name: NameFull: Neirinck J – PersonEntity: Name: NameFull: Billen J – PersonEntity: Name: NameFull: Frans G – PersonEntity: Name: NameFull: De Vos M IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 04 Text: 2026 Apr 02 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1530-8561 Numbering: – Type: volume Value: 72 – Type: issue Value: 4 Titles: – TitleFull: Clinical chemistry Type: main |
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