Scaling up self-supervised learning for improved surgical foundation models.

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Bibliographic Details
Title: Scaling up self-supervised learning for improved surgical foundation models.
Authors: Jaspers TJM; Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands. Electronic address: t.j.m.jaspers@tue.nl., de Jong RLPD; Department of Biomedical Engineering, Medical Image Analysis, Eindhoven University of Technology, Eindhoven, The Netherlands. Electronic address: r.l.p.d.d.jong@tue.nl., Li Y; Department of Biomedical Engineering, Medical Image Analysis, Eindhoven University of Technology, Eindhoven, The Netherlands., Kusters CHJ; Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands., Bakker FHA; Department of Urology, Catharina Hospital, Eindhoven, The Netherlands., van Jaarsveld RC; Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands., Kuiper GM; Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands., van Hillegersberg R; Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands., Ruurda JP; Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands., Brinkman WM; Department of Oncological Urology, University Medical Center Utrecht, Utrecht, The Netherlands., Pluim JPW; Department of Biomedical Engineering, Medical Image Analysis, Eindhoven University of Technology, Eindhoven, The Netherlands., de With PHN; Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands., Breeuwer M; Department of Biomedical Engineering, Medical Image Analysis, Eindhoven University of Technology, Eindhoven, The Netherlands., Al Khalil Y; Department of Biomedical Engineering, Medical Image Analysis, Eindhoven University of Technology, Eindhoven, The Netherlands., van der Sommen F; Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands.
Source: Medical image analysis [Med Image Anal] 2026 Feb; Vol. 108, pp. 103873. Date of Electronic Publication: 2025 Nov 13.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2025.103873