Gastrointestinal endoscopic image style transfer using EndoStyle to improve artificial intelligence prediction models

Abstract Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection and classification. However, most AI models are trained on images from multiple video processors, whereas clinical environments typically rely on a single processor. We developed EndoStyle, a...

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Xehetasun bibliografikoak

Egile Nagusiak:	Joel Troya, Ioannis Kafetzis, Ronja Weber, Yun Chiang, Venkatesh Parayitam, Philipp Sodmann, Dieter Ziegler, Frank Puppe, Andreas Nüchter, Alexander Meining, Alexander Hann
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2026-04-01
Saila:	npj Digital Medicine
Sarrera elektronikoa:	https://doi.org/10.1038/s41746-026-02693-4
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