Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy

Artificial intelligence (AI) is widely used to analyze gastrointestinal (GI) endoscopy image data. AI has led to several clinically approved algorithms for polyp detection, but application of AI beyond this specific task is limited by the high cost of manual annotations. Here, we show that a weakly...

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Detalles Bibliográficos
Autores principales: Buendgens, Lukas, Cifci, Didem, Ghaffari Laleh, Narmin, van Treeck, Marko, Koenen, Maria T., Zimmermann, Henning W., Herbold, Till, Lux, Thomas Joachim, Hann, Alexander, Trautwein, Christian, Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941159/
https://www.ncbi.nlm.nih.gov/pubmed/35318364
http://dx.doi.org/10.1038/s41598-022-08773-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941159/
https://www.ncbi.nlm.nih.gov/pubmed/35318364
http://dx.doi.org/10.1038/s41598-022-08773-1

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