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Deep Learning-Based Tumor Cell Classification in Lung Adenocarcinoma With a Case-by-Case Human-in-the-Loop Approach.

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Title: Deep Learning-Based Tumor Cell Classification in Lung Adenocarcinoma With a Case-by-Case Human-in-the-Loop Approach.
Authors: Stampe M; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark., Klausen P; Department of Pathology, Rigshospitalet, Copenhagen, Denmark., Christiansen IS; Department of Pathology, Rigshospitalet, Copenhagen, Denmark., Rift CV; Department of Pathology, Rigshospitalet, Copenhagen, Denmark., Koffeldt PR; Department of Pathology, Rigshospitalet, Copenhagen, Denmark., Hartvig R; Department of Pathology, Rigshospitalet, Copenhagen, Denmark., Santoni-Rugiu E; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark., Jensen THL; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.; BRIC-Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Source: APMIS : acta pathologica, microbiologica, et immunologica Scandinavica [APMIS] 2026 Apr; Vol. 134 (4), pp. e70208.
Publication Type: Journal Article
Journal Info: Publisher: Munksgaard Country of Publication: Denmark NLM ID: 8803400 Publication Model: Print Cited Medium: Internet ISSN: 1600-0463 (Electronic) Linking ISSN: 09034641 NLM ISO Abbreviation: APMIS Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep Learning-Based Tumor Cell Classification in Lung Adenocarcinoma With a Case-by-Case Human-in-the-Loop Approach.
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  Data: <searchLink fieldCode="AU" term="%22Stampe+M%22">Stampe M</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Klausen+P%22">Klausen P</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Christiansen+IS%22">Christiansen IS</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Rift+CV%22">Rift CV</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Koffeldt+PR%22">Koffeldt PR</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Hartvig+R%22">Hartvig R</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Santoni-Rugiu+E%22">Santoni-Rugiu E</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Jensen+THL%22">Jensen THL</searchLink>; Department of Pathology, Rigshospitalet, Copenhagen, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.; BRIC-Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
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  Data: <searchLink fieldCode="JN" term="%228803400%22">APMIS : acta pathologica, microbiologica, et immunologica Scandinavica</searchLink> [APMIS] 2026 Apr; Vol. 134 (4), pp. e70208.
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        Value: 10.1111/apm.70208
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      – TitleFull: Deep Learning-Based Tumor Cell Classification in Lung Adenocarcinoma With a Case-by-Case Human-in-the-Loop Approach.
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              Text: 2026 Apr
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              Y: 2026
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