Generative adversarial networks for balancing and expanding data resources for computer-aided detection in colonoscopy

Background and aimsDeveloping computer-aided detection (CADe) algorithms in colonoscopy requires high-quality databases sourced from real-world data. However, such databases demand costly investments and display imbalanced distributions that underrepresent flat adenomas. Therefore, we evaluated whet...

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Detalles Bibliográficos

Principais autores:	J. J. H. van der Laan, J. van Lune, L. R. B. Schomaker, P. M. A. van Ooijen, W. B. Nagengast
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2026-07-01
Series:	Frontiers in Medical Technology
Assuntos:	adenomas colonoscopy computer-aided detection generative AI synthetic data
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fmedt.2026.1824811/full
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