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Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learning.

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Title: Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learning.
Authors: Wenderoth L; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20251 Hamburg, Germany; Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany., Asemissen AM; II. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany., Modemann F; II. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany., Nielsen M; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20251 Hamburg, Germany; Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany., Werner R; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20251 Hamburg, Germany; Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany. Electronic address: r.werner@uke.de.
Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2025 Mar; Vol. 260, pp. 108560. Date of Electronic Publication: 2024 Dec 09.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Wenderoth+L%22">Wenderoth L</searchLink>; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20251 Hamburg, Germany; Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Asemissen+AM%22">Asemissen AM</searchLink>; II. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Modemann+F%22">Modemann F</searchLink>; II. Department of Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Nielsen+M%22">Nielsen M</searchLink>; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20251 Hamburg, Germany; Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Werner+R%22">Werner R</searchLink>; Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Christoph-Probst-Weg 1, 20251 Hamburg, Germany; Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany; Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany. Electronic address: r.werner@uke.de.
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