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 |
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