Self-supervised deep metric learning for prototypical zero-shot lesion retrieval in placenta whole-slide images

Gaspar Faure, Dorothée Dal Soglio, Natalie Patey, Luc L. Oligny, Sylvie Girard and Lama Séoud

Article (2025)

Open Acess document at official publisher

An external link is available for this item

Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/66544/
Journal Title:	Computers in Biology and Medicine (vol. 196, no. A)
Publisher:	Elsevier BV
DOI:	10.1016/j.compbiomed.2025.110634
Official URL:	https://doi.org/10.1016/j.compbiomed.2025.110634
Date Deposited:	21 Jul 2025 15:30
Last Modified:	21 Jul 2025 15:30

Cite in APA 7:	Faure, G., Dal Soglio, D., Patey, N., Oligny, L. L., Girard, S., & Séoud, L. (2025). Self-supervised deep metric learning for prototypical zero-shot lesion retrieval in placenta whole-slide images. Computers in Biology and Medicine, 196(A), 110634. https://doi.org/10.1016/j.compbiomed.2025.110634
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only