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Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides. (2024)

First Author: Claudio Quiros A
Attributed to:  Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/s41467-024-48666-7

PubMed Identifier: 38862472

Publication URI: http://europepmc.org/abstract/MED/38862472

Type: Journal Article/Review

Volume: 15

Parent Publication: Nature communications

Issue: 1

ISSN: 2041-1723