Self-supervision enhances instance-based multiple instance learning methods in digital pathology: a benchmark study.

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Bibliographic Details
Title: Self-supervision enhances instance-based multiple instance learning methods in digital pathology: a benchmark study.
Authors: Mammadov A; Télécom Paris (Institut Polytechnique de Paris), Palaiseau, France.; Groupe Hospitalier Paris Saint-Joseph, Paris, France., Le Folgoc L; Télécom Paris (Institut Polytechnique de Paris), Palaiseau, France., Adam J; Groupe Hospitalier Paris Saint-Joseph, Paris, France., Buronfosse A; Groupe Hospitalier Paris Saint-Joseph, Paris, France., Hayem G; Groupe Hospitalier Paris Saint-Joseph, Paris, France., Hocquet G; Groupe Hospitalier Paris Saint-Joseph, Paris, France., Gori P; Télécom Paris (Institut Polytechnique de Paris), Palaiseau, France.
Source: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2025 Nov; Vol. 12 (6), pp. 061404. Date of Electronic Publication: 2025 Jun 03.
Publication Type: Journal Article
Journal Info: Publisher: Society of Photo-Optical Instrumentation Engineers Country of Publication: United States NLM ID: 101643461 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2329-4302 (Print) Linking ISSN: 23294302 NLM ISO Abbreviation: J Med Imaging (Bellingham) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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