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CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models.

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Title: CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models.
Authors: Hörst F; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, 45131, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), Essen, 45131, Germany; Department of Physics, TU Dortmund University, Dortmund, 44227, Germany., Rempe M; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, 45131, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), Essen, 45131, Germany; Department of Physics, TU Dortmund University, Dortmund, 44227, Germany., Becker H; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, 45131, Germany., Heine L; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, 45131, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), Essen, 45131, Germany., Keyl J; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, 45131, Germany; Institute of Pathology, University Hospital Essen (AöR), Essen, 45147, Germany., Kleesiek J; Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), Essen, 45131, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), Essen, 45131, Germany; Department of Physics, TU Dortmund University, Dortmund, 44227, Germany; German Cancer Consortium (DKTK), Partner site Essen, Heidelberg, 69120, Germany. Electronic address: jens.kleesiek@uk-essen.de.
Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2026 Apr; Vol. 277, pp. 109206. Date of Electronic Publication: 2026 Jan 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
Database: MEDLINE Ultimate
Description
ISSN:1872-7565
DOI:10.1016/j.cmpb.2025.109206