Enhanced metastasis risk prediction in cutaneous squamous cell carcinoma using deep learning and computational histopathology

Abstract Cutaneous squamous cell carcinoma (cSCC) is the most common skin cancer with metastatic potential and development of metastases carries a poor prognosis. To address the need for reliable risk stratification, we developed cSCCNet, a deep learning model using digital pathology of primary cSCC...

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Autori principali:	Emilia Peleva, Yue Chen, Bernhard Finke, Hasan Rizvi, Eugene Healy, Chester Lai, Paul Craig, William Rickaby, Christina Schoenherr, Craig Nourse, Charlotte Proby, Gareth J. Inman, Irene M. Leigh, Catherine A. Harwood, Jun Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-09-01
Serie:	npj Precision Oncology
Accesso online:	https://doi.org/10.1038/s41698-025-01065-7
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