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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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Bibliographic Details
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
Description
ISSN:1600-0463
DOI:10.1111/apm.70208