Work

Improving gynecological pathology access with the OpenFlexure Microscope

Year: 2026

Type: article

Source: International Journal of Gynecological Cancer

DOI: 10.1016/j.ijgc.2026.104680

Authors: Joe Knapper, Kelsey Hummel, Julian Stirling, William Wadsworth, Elisée Hategekimana, Fábio Coracin, Gustavo Teixeira, Beth Probert, Daniel Rosen, Richard Bowman

Institutions: University of Glasgow, University of Michigan, University of Bath, University Teaching Hospital of Butare, Baylor College of Medicine

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure, Reduced inequalities

Open Access status: green

Funders: Royal Society, University of Glasgow

Award: G9000359401

OpenAlex ID: W7153449199

FWCI:

Cites: 6

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