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Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects

Background and study aims The contribution of artificial intelligence (AI) to endoscopy is rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting step for such projects and is a painstaking, cost-inefficient, time-consuming process. A novel software platform,...

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Detalles Bibliográficos
Autores principales:	Hansen, Ulrik Stig, Landau, Eric, Patel, Mehul, Hayee, BuʼHussain
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Georg Thieme Verlag KG 2021
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046592/ https://www.ncbi.nlm.nih.gov/pubmed/33869736 http://dx.doi.org/10.1055/a-1341-0689

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