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POLARIX: POLE-mutation analysis by rapid image-based screening in endometrial cancer

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Year: 2026
Type: article
Source: International Journal of Gynecological Cancer
DOI: 10.1016/j.ijgc.2025.104436
Authors: Nikki van den Berg, Lydia Schoenpflug, Nanda Horeweg, Sarah Volinsky-Fremond, Gitte Ørtoft, Jan J. Jobsen, Rubina Razack, Ina Jürgenliemk-Schulz, Ludy C.H. W. Lutgens, Melanie E. Powell, Pearly Khaw, Lois Shepherd, Alexandra Leary, Stephanie De Boer, Anne Sophie Van Den Heerik, Cor De Kroon, Vincent T.H. B.M. Smit, Carien L. Creutzberg, Viktor H. Koelzer, Tjalling Bosse
Institutions: Leiden University Medical Center, University of Basel, University Hospital of Basel, Copenhagen University Hospital, Medisch Spectrum Twente, Stellenbosch University, University Medical Center Utrecht, Barts Health NHS Trust, Peter MacCallum Cancer Centre, Institut Gustave Roussy
Language: English

Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W7129300163
FWCI: 7.225
Cites:
Cited by: 2
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